Every year, threat actors use various social engineering techniques during tax season to steal personal and financial information, which can result in identity theft and monetary loss. These threat actors craft campaigns that mislead taxpayers into revealing sensitive information, making payments to fake services, or installing malicious payloads. Although these are well-known, longstanding techniques, they could still be highly effective if users and organizations don’t use advanced anti-phishing solutions and conduct user awareness and training. 

In this blog, we share details on the different campaigns observed by Microsoft in the past several months leveraging the tax season for social engineering. This also includes additional recommendations to help users and organizations defend against tax-centric threats. Microsoft Defender for Office 365 blocks and identifies the malicious emails and attachments used in the observed campaigns. Microsoft Defender for Endpoint also detects and blocks a variety of threats and malicious activities related but not limited to the tax threat landscape. Additionally, the United States Internal Revenue Service (IRS) does not initiate contact with taxpayers by email, text messages or social media to request personal or financial information.

BruteRatel C4 and Latrodectus delivered in tax and IRS-themed phishing emails

On February 6, 2025, Microsoft observed a phishing campaign that involved several thousand emails targeting the United States. The campaign used tax-themed emails that attempted to deliver the red-teaming tool BRc4 and Latrodectus malware. Microsoft attributes this campaign to Storm-0249, an access broker active since 2021 and known for distributing, at minimum, BazaLoader, IcedID, Bumblebee, and Emotet malware. The following lists the details of the phishing emails used in the campaign:

Example email subjects:

• Notice: IRS Has Flagged Issues with Your Tax Filing
• Unusual Activity Detected in Your IRS Filing
• Important Action Required: IRS Audit

Example PDF attachment names:

• lrs_Verification_Form_1773.pdf
• lrs_Verification_Form_2182.pdf
• lrs_Verification_Form_222.pdf

The emails contained a PDF attachment with an embedded DoubleClick URL that redirected users to a Rebrandly URL shortening link. That link in turn redirected the browser to a landing site that displayed a fake DocuSign page hosted on a domain masquerading as DocuSign. When users clicked the Download button on the landing page, the outcome depended on whether their system and IP address were allowed to access the next stage based on filtering rules set up by the threat actor:

• If access was permitted, the user received a JavaScript file from Firebase, a platform sometimes misused by cybercriminals to host malware. If executed, this JavaScript file downloaded a Microsoft Software Installer (MSI) containing BRc4 malware, which then installed Latrodectus, a malicious tool used for further attacks.
• If access was restricted, the user received a benign PDF file from royalegroupnyc[.]com. This served as a decoy to evade detection by security systems.

Latrodectus is a loader primarily used for initial access and payload delivery. It features dynamic command-and-control (C2) configurations, anti-analysis features such as minimum process count and network adapter check, C2 check-in behavior that splits POST data between the Cookie header and POST data. Latrodectus 1.9, the malware’s latest evolution first observed in February 2025, reintroduced scheduled tasks for persistence and added the ability to run Windows commands via the command prompt.

BRc4 is an advanced adversary simulation and red-teaming framework designed to bypass modern security defenses, but it has also been exploited by threat actors for post-exploitation activities and C2 operations.

Phishing email with QR code in a PDF links to RaccoonO365 infrastructure

Between February 12 and 28, 2025, tax-themed phishing emails were sent to over 2,300 organizations, mostly in the United States in the engineering, IT, and consulting sectors. The emails had an empty body but contained a PDF attachment with a QR code and subjects indicating that the documents needed to be signed by the recipient. The QR code pointed to a hyperlink associated with a RaccoonO365 domain: shareddocumentso365cloudauthstorage[.]com. The URL included the recipient email as a query string parameter, so the PDF attachments were all unique. RaccoonO365 is a PhaaS platform that provides phishing kits that mimic Microsoft 365 sign-in pages to steal credentials. The URL was likely a phishing page used to collect the targeted user’s credentials.

The emails were sent with a variety of display names, which are the names that recipients see in their inboxes, to make the emails appear as if they came from an official source. The following display names were observed in these campaigns:

• EMPLOYEE TAX REFUND REPORT
• Project Funding Request Budget Allocation
• Insurance Payment Schedule Invoice Processing
• Client Contract Negotiation Service Agreement
• Adjustment Review Employee Compensation
• Tax Strategy Update Campaign Goals
• Team Bonus Distribution Performance Review
• proposal request
• HR|Employee Handbooks

AHKBot delivered in IRS-themed phishing emails

On February 13, 2025, Microsoft observed a campaign using an IRS-themed email that targeted users in the United States. The email’s subject was IRS Refund Eligibility Notification and the sender was jessicalee@eboxsystems[.]com.

The email contained a hyperlink that directed users to download a malicious Excel file. The link (hxxps://business.google[.]com/website_shared/launch_bw[.]html?f=hxxps://historyofpia[.]com/Tax_Refund_Eligibility_Document[.]xlsm) abused an open redirector on what appeared to be a legitimate Google Business page. It redirected users to historyofpia[.]com, which was likely compromised to host the malicious Excel file. If the user opened the Excel file, they were prompted to enable macros, and if the user enabled macros, a malicious MSI file was downloaded and run.

The MSI file contained two files. The first file, AutoNotify.exe, is a legitimate copy of the executable used to run AutoHotKey script files. The second file, AutoNotify.ahk, is an AHKBot Looper script which is a simple infinite loop that receives and runs additional AutoHotKey scripts. The AHKBot Looper was in turn observed downloading the Screenshotter module, which includes code to capture screenshots from the compromised device. Both Looper and Screenshotter used the C2 IP address 181.49.105[.]59 to receive commands and upload screenshots.

GuLoader and Remcos delivered in tax-themed phishing emails

On March 3, 2025, Microsoft observed a tax-themed phishing campaign targeting CPAs and accountants in the United States, attempting to deliver GuLoader and Remcos malware. The campaign, which consisted of less than 100 emails, began with a benign rapport-building email from a fake persona asking for tax filing services due to negligence by a previous CPA. If the recipient replied, they would then receive a second email with the malicious PDF. This technique increases the click rates on the malicious payloads due to the established rapport between attacker and recipient.

The malicious PDF attachment contained an embedded URL. If the attachment was opened and the URL clicked, a ZIP file was downloaded from Dropbox. The ZIP file contained various .lnk files set up to mimic tax documents. If launched by the user, the .lnk file uses PowerShell to download a PDF and a .bat file. The .bat file in turn downloaded the GuLoader executable, which then installed Remcos.

GuLoader is a highly evasive malware downloader that leverages encrypted shellcode, process injection, and cloud-based hosting services to deliver various payloads, including RATs and infostealers. It employs multiple anti-analysis techniques, such as sandbox detection and API obfuscation, to bypass security defenses and ensure successful payload execution.

Remcos is a RAT that provides attackers with full control over compromised systems through keylogging, screen capturing, and process manipulation while employing stealth techniques to evade detection.

Mitigation and protection guidance

Microsoft recommends the following mitigations to reduce the impact of this threat.

• Educate users about protecting personal and business information in social media, filtering unsolicited communication, identifying lure links in phishing emails, and reporting reconnaissance attempts and other suspicious activity.
• Turn on Zero-hour auto purge (ZAP) in Defender for Office 365 to quarantine sent mail in response to newly-acquired threat intelligence and retroactively neutralize malicious phishing, spam, or malware messages that have already been delivered to mailboxes.
• Pilot and deploy phishing-resistant authentication methods for users.
• Enforce multifactor authentication (MFA) on all accounts, remove users excluded from MFA, and strictly require MFA from all devices in all locations at all times.
• Implement Entra ID Conditional Access authentication strength to require phishing-resistant authentication for employees and external users for critical apps.
• Encourage users to use Microsoft Edge and other web browsers that support Microsoft Defender SmartScreen, which identifies and blocks malicious websites including phishing sites, scam sites, and sites that contain exploits and host malware.
• Educate users about using the browser URL navigator to validate that upon clicking a link in search results they have arrived at an expected legitimate domain.
• Enable network protection to prevent applications or users from accessing malicious domains and other malicious content on the internet.
• Configure Microsoft Defender for Office 365 to recheck links on click. Safe Links provides URL scanning and rewriting of inbound email messages in mail flow and time-of-click verification of URLs and links in email messages, other Microsoft Office applications such as Teams, and other locations such as SharePoint Online. Safe Links scanning occurs in addition to the regular anti-spam and anti-malware protection in inbound email messages in Microsoft Exchange Online Protection (EOP). Safe Links scanning can help protect your organization from malicious links that are used in phishing and other attacks.
• Turn on cloud-delivered protection in Microsoft Defender Antivirus or the equivalent for your antivirus product to cover rapidly evolving attacker tools and techniques. Cloud-based machine learning protections block a huge majority of new and unknown variants.
• Enable investigation and remediation in full automated mode to allow Defender for Endpoint to take immediate action on alerts to resolve breaches, significantly reducing alert volume.
• Run endpoint detection and response (EDR) in block mode, so that Defender for Endpoint can block malicious artifacts, even when your non-Microsoft antivirus doesn’t detect the threat or when Microsoft Defender Antivirus is running in passive mode. EDR in block mode works behind the scenes to remediate malicious artifacts detected post-breach.

Microsoft Defender XDR detections

Microsoft Defender XDR customers can refer to the list of applicable detections below. Microsoft Defender XDR coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Customers with provisioned access can also use Microsoft Security Copilot in Microsoft Defender to investigate and respond to incidents, hunt for threats, and protect their organization with relevant threat intelligence.

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects threat components used in the campaigns shared in this blog as the following:

• Backdoor:Win64/BruteRatel
• Backdoor:Win32/BruteRatel
• Trojan:Win64/BruteRatel
• Trojan:Win32/BruteRatel
• Trojan:Win64/Latrodectus
• Trojan:Win32/Latrodectus
• TrojanDownloader:JS/Latrodectus
• Trojan:Win32/Remcos
• Backdoor:MSIL/Remcos
• Trojan:Win32/Guloader

Microsoft Defender for Endpoint

The following alerts might indicate threat activity associated with this threat. These alerts, however, can be triggered by unrelated threat activity and are not monitored in the status cards provided with this report.

• Possible Latrodectus activity
• Brute Ratel toolkit related behavior
• A file or network connection related to ransomware-linked actor Storm-0249 detected
• Suspicious phishing activity detected

Microsoft Defender for Office 365

Microsoft Defender for Office 365 offers enhanced solutions for blocking and identifying malicious emails. These alerts, however, can be triggered by unrelated threat activity.

• A potentially malicious URL click was detected 
• Email messages containing malicious URL removed after delivery
• Email messages removed after delivery
• A user clicked through to a potentially malicious URL
• Suspicious email sending patterns detected
• Email reported by user as malware or phish

Defender for Office 365 also detects the malicious PDF attachments used in the phishing campaign launched by Storm-0249.

Microsoft Security Copilot

Security Copilot customers can use the standalone experience to create their own prompts or run the following pre-built promptbooks to automate incident response or investigation tasks related to this threat:

• Incident investigation
• Microsoft User analysis
• Threat actor profile
• Threat Intelligence 360 report based on MDTI article
• Vulnerability impact assessment

Note that some promptbooks require access to plugins for Microsoft products such as Microsoft Defender XDR or Microsoft Sentinel.

Threat intelligence reports

Microsoft customers can use the following reports in Microsoft products to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender Threat Intelligence

• Latrodectus
• PhaaS RaccoonO365 campaign
• Remcos delivery through tax document lures
• Storm-0249 distributes Latrodectus in malvertising campaign
• Storm-0249
• Brute Ratel C4
• QR code phishing with adversary-in-the-middle capability

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Hunting queries

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Furthermore, listed below are some sample queries utilizing Sentinel ASIM Functions for threat hunting across both Microsoft first-party and third-party data sources.

Hunt normalized Network Session events using the ASIM unifying parser _Im_NetworkSession for IOCs:

let lookback = 7d;
let ioc_ip_addr = dynamic(["181.49.105.59 "]); 
_Im_NetworkSession(starttime=todatetime(ago(lookback)), endtime=now())
| where DstIpAddr in (ioc_ip_addr) 
| summarize imNWS_mintime=min(TimeGenerated), imNWS_maxtime=max(TimeGenerated), EventCount=count() by SrcIpAddr, DstIpAddr, DstDomain, Dvc, EventProduct, EventVendor

Hunt normalized File events using the ASIM unifying parser imFileEvent for IOCs:

let ioc_sha_hashes=dynamic(["fe0b2e0fe7ce26ae398fe6c36dae551cb635696c927761738f040b581e4ed422","bb3b6262a288610df46f785c57d7f1fa0ebc75178c625eaabf087c7ec3fccb6a","9728b7c73ef25566cba2599cb86d87c360db7cafec003616f09ef70962f0f6fc",
"3c482415979debc041d7e4c41a8f1a35ca0850b9e392fecbdef3d3bc0ac69960","165896fb5761596c6f6d80323e4b5804e4ad448370ceaf9b525db30b2452f7f5","a31ea11c98a398f4709d52e202f3f2d1698569b7b6878572fc891b8de56e1ff7",
"a1b4db93eb72a520878ad338d66313fbaeab3634000fb7c69b1c34c9f3e17727","0b22a0d84afb8bc4426ac3882a5ecd2e93818a2ea62d4d5cbae36d942552a36a","4d5839d70f16e8f4f7980d0ae1758bb5a88b061fd723ea4bf32b4b474c222bec","9bffe9add38808b3f6021e6d07084a06300347dd5d4b7e159d97e949735cff1e"]);  
imFileEvent
  | where SrcFileSHA256 in (ioc_sha_hashes) or TargetFileSHA256 in (ioc_sha_hashes)
  | extend AccountName = tostring(split(User, @'\')[1]), AccountNTDomain = tostring(split(User, @'\')[0])
  | extend AlgorithmType = "SHA256"

 Hunt normalized Web Session events using the ASIM unifying parser _Im_WebSession for IOCs:

let lookback = 7d;
let ioc_domains = dynamic(["slgndocline.onlxtg.com ", "cronoze.com ", "muuxxu.com ", "proliforetka.com ", "porelinofigoventa.com ", "shareddocumentso365cloudauthstorage.com", "newsbloger1.duckdns.org"]);
  _Im_WebSession (starttime=ago(lookback), eventresult='Success', url_has_any=ioc_domains)
 | summarize imWS_mintime=min(TimeGenerated), imWS_maxtime=max(TimeGenerated), EventCount=count() by SrcIpAddr, DstIpAddr, Url, Dvc, EventProduct, EventVendor  

In addition to the above, Sentinel users can also leverage the following queries, which may be relevant to the content of this blog.

•  Phishing link click observed in Network Traffic
•  Email Link Execution with Alert Correlation

Indicators of compromise

BruteRatel C4 and Lactrodectus infection chain

RaccoonO365

AHKBot

Remcos

References

• https://www.morado.io/blog-posts/understanding-raccoono365-phishing-as-a-service
• https://www.irs.gov/privacy-disclosure/report-phishing

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog: https://aka.ms/threatintelblog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn at https://www.linkedin.com/showcase/microsoft-threat-intelligence, and on X (formerly Twitter) at https://x.com/MsftSecIntel.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast: https://thecyberwire.com/podcasts/microsoft-threat-intelligence.

The post Threat actors leverage tax season to deploy tax-themed phishing campaigns appeared first on Microsoft Security Blog.

Microsoft’s Unified Security Operations for Public Sector

Discover how Microsoft helps public sectors modernize security operations to enhance cyber defense and streamline processes.

Read the datasheet

Microsoft’s unified security operations for public sector

Embracing modern security technology, processes, and continuous skill development is vital for protecting public sector organizations. By leveraging innovations powered by generative AI, unparalleled threat intelligence, and best practices, public sectors can transform their security operations to effectively defend against emerging cyberthreats.

AI-powered security operations: Microsoft delivers innovations to effectively protect against today’s complex threat landscape. The AI-powered unified security operations platform offers an enhanced and streamlined approach to security operations by integrating security information and event management (SIEM), security orchestration, automation, and response (SOAR), extended detection and response (XDR), posture and exposure management, cloud security, threat intelligence, and AI into a single, cohesive experience, eliminating silos and providing end-to-end security operations (SecOps). The unified platform boosts analyst efficiency, reduces context switching, and delivers quicker time to value with less integration work.

Microsoft is committed to helping public sector customers accelerate threat detection and response through improved security posture across organizations with richer insights, multi-tenant management, early warnings, and increased efficiency through automation and generative AI. Through automatic attack disruption, Microsoft Defender XDR utilizes robust threat intelligence, advanced AI and machine learning to detect and contain sophisticated cyberattacks in real time, significantly reducing their impact. This high-fidelity detection and protection capability disrupts more than 40,000 incidents each month, like identity threats and human-operated cyberattacks, while maintaining a false positive rate below 1%.

“Speed is an important factor against adversaries, and gaining situational awareness across a complex landscape of threats is therefore key.”

—Customer in the healthcare industry

People and process modernization: Public-private partnerships play a vital role in fostering the exchange of best practices and developing standardized processes that drive efficiency in incident response and threat intelligence sharing. For example, adapting the threat triage process to leverage generative AI agents can enable teams to scale significantly with agents autonomously analyzing and triaging vast volumes of alerts in real time, prioritize critical cyberthreats, and recommend specific remediation steps based on historical patterns. These collaborations also empower organizations to build teams equipped with cutting-edge skills and a comprehensive understanding of generative AI capabilities, helping them stay ahead of emerging cyberthreats.

Collective cyber defense and threat intelligence: Using Microsoft’s global threat intelligence insights, public sector organizations can collaborate with each other and across other sectors to share deeper cyberthreat insights efficiently. This partnership enables public sector organizations to exchange threat intelligence in a standardized manner within a region or country.

“Collective defense collaborations are driven by mutual interests with industry peers and cybersecurity alliances on improving security postures and responding more effectively to emerging threats.”

—Customer in the transport industry

The power of generative AI in cyber operations

Generative AI brings several transformative benefits to cybersecurity, making it a cornerstone for public sector security operations center (SOC) modernization.

Enhanced threat detection and response: Generative AI has the potential to sift through data from firewalls, endpoints, and cloud workloads, surfacing actionable cyberthreats that might go unnoticed in manual reviews. Unlike traditional rule-based detection methods, generative AI can identify attack patterns, adapt to emerging cyberthreats, and prioritize incidents based on risk severity, helping security teams focus on the most critical issues. Generative AI can go beyond simply surfacing cyberthreats; it can contextualize attack signals, predict potential breaches, and recommend guided responses for remediation strategies, reducing the burden on security analysts. Microsoft Security Copilot is already covering a range of use cases and is expanding rapidly to seize the full potential of generative AI. By providing guided incident investigation and response, Security Copilot helps security operations center (SOC) teams to detect and respond to cyberthreats more effectively. It can help teams to learn about malicious actors and campaigns, provide rapid summaries, and even contact the user to check for suspicious behavior. Adoption is associated with 30% reduction in security incident mean time to resolution (MTTR).²

Reduced operational overheads: By automating routine tasks, generative AI can free analysts from repetitive processes like alert triage or patch validation, enabling them to focus on advanced threat hunting. Security teams can already leverage Security Copilot to translate complex scripts into natural language, highlighting and explaining key parts to enhance team skills and reduce investigation time for advanced investigations as much as by 85%, helping security teams operate at scale.³

“Increased support from AI is critical given the significant capacity challenge in the public sector: a shortage of talent, an influx of threats, and an ever-increasing volume of data, assets, and organizations.”

—National SOC customer

Building a resilient digital future together

As nation-state threat actors and cybercriminals increasingly employ generative AI in their cyberattacks, public sector organizations can no longer rely on fragmented, manual defenses. The path forward lies in public-private collaboration, centered on co-designing and innovating solutions tailored to the public sector’s unique needs.

By adopting Microsoft Security solutions, public sector organizations can leverage combined resources, expertise, and cutting-edge technology to fortify critical infrastructure, safeguard citizen data, and strengthen public trust.

Now is the time to act: Modernize your cyber defense in the AI era to collectively forge a more secure and resilient digital future for government and public sector operations.

Learn more

Learn more about the AI-Powered Security Operations Platform for more details on the unified Security Operations platform.

Learn more about Microsoft Sentinel.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

¹Microsoft Digital Defense Report 2024

²Generative AI and Security Operations Center Productivity: Evidence from Live Operations, Microsoft study. James Bono, Alec Xu, Justin Grana. November 24, 2024.

³Forrester Total Economic Impact™ of Microsoft Sentinel. The Total Economic Impact^(TM) Of Microsoft Sentinel, a commissioned study conducted by Forrester Consulting, March 2024. Results are based on a composite organization representative of interviewed customers.

The post Transforming public sector security operations in the AI era appeared first on Microsoft Security Blog.

Microsoft has not yet attributed StilachiRAT to a specific threat actor or geolocation. Based on Microsoft’s current visibility, the malware does not exhibit widespread distribution at this time. However, due to its stealth capabilities and the rapid changes within the malware ecosystem, we are sharing these findings as part of our ongoing efforts to monitor, analyze, and report on the evolving threat landscape.

Microsoft security solutions can detect activities related to attacks that use StilachiRAT. To help defenders protect their network, we are also sharing mitigation guidance to help reduce the impact of this threat, detection details, and hunting queries. Microsoft continues to monitor information on the delivery vector used in these attacks. Malware like StilachiRAT can be installed through multiple vectors; therefore, it is critical to implement security hardening measures to prevent the initial compromise. 

This blog presents our detailed findings on all the key capabilities of StilachiRAT, which include:

• System reconnaissance: Collects comprehensive system information, including operating system (OS) details, hardware identifiers, camera presence, active Remote Desktop Protocol (RDP) sessions, and running graphical user interface (GUI) applications, allowing detailed profiling of the target system.
• Digital wallet targeting: Scans for configuration data of 20 different cryptocurrency wallet extensions for the Google Chrome browser.
• Credential theft: Extracts and decrypts saved credentials from Google Chrome, gaining access to usernames and passwords stored in the browser.
• Command-and-control (C2) connectivity: Establishes communication with remote C2 servers using TCP ports 53, 443, or 16000, enabling remote command execution and potentially SOCKS like proxying.
• Command execution: Supports a variety of commands from the C2 server, including system reboots, log clearing, registry manipulation, application execution, and system suspension.
• Persistence mechanisms: Achieves persistence through the Windows service control manager (SCM) and uses watchdog threads to ensure self-reinstatement if removed.
• RDP monitoring: Monitors RDP sessions, capturing active window information and impersonating users, allowing for potential lateral movement within networks.
• Clipboard and data collection: Continuously monitors clipboard content, actively searching for sensitive data like passwords and cryptocurrency keys, while tracking active windows and applications.
• Anti-forensics and evasion: Employs anti-forensic tactics by clearing event logs, detecting analysis tools, and implementing sandbox-evading behaviors to avoid detection.

Technical analysis of key capabilities

System reconnaissance

StilachiRAT gathers extensive system information, including OS details, device identifiers, BIOS serial numbers, and camera presence. Information is collected through the Component Object Model (COM) Web-based Enterprise Management (WBEM) interfaces using WMI Query Language (WQL). Below are some of the queries it executes:

Serial number

Camera

OS / System info (server, model, manufacturer)

Additionally, the malware creates a unique identification on the infected device that is derived from the system’s serial number and attackers’ public RSA key. The information is stored in the registry under a CLSID key.

Digital wallet targeting

StilachiRAT targets a list of specific cryptocurrency wallet extensions for the Google Chrome browser. It accesses the settings in the following registry key and validates if any of the extensions are installed:

\SOFTWARE\Google\Chrome\PreferenceMACs\Default\extensions.settings

The malware targets the following cryptocurrency wallet extensions:

Credential theft

StilachiRAT extracts Google Chrome’s encryption_key from the local state file in a user’s directory. However, since the key is encrypted when Chrome is first installed, it uses Windows APIs that rely on current user’s context to decrypt the master key. This allows access to the stored credentials in the password vault. The stored credentials are extracted from the following locations:

• %LOCALAPPDATA%\Google\Chrome\User Data\Local State – stores Chrome’s configuration data, including the encrypted key.
• %LOCALAPPDATA%\Google\Chrome\User Data\Default\Login Data – stores entered user credentials.

The “Login Data” stores information using an SQLite database and the malware retrieves credentials using the following query:

Command-and-control (C2)

There are two configured addresses for the C2 server – one is stored in obfuscated form and the other is an IP address converted to its binary format (instead of a regular string):

• app.95560[.]cc
• 194.195.89[.]47

The communications channel is established using TCP ports 53, 443, or 16000, selected randomly. Additionally, the malware checks for presence of tcpview.exe and will not proceed if one is present. It also delays initial connection by two hours, presumably to evade detection. Once connected, a list of active windows is sent to the server. Additional technical findings regarding C2 communications functionality are listed in the section below.

Persistence mechanisms

StilachiRAT can be launched both as a Windows service or a standalone component. In both cases, there is a mechanism in place to ensure the malware isn’t removed.

A watchdog thread monitors both the EXE and dynamic link library (DLL) files used by the malware by periodically polling for their presence. If found absent, the files can be recreated from an internal copy obtained during initialization. Lastly, the Windows service component can be recreated by modifying the relevant registry settings and restarting it through the SCM.

RDP monitoring

StilachiRAT monitors RDP sessions by capturing foreground window information and duplicating security tokens to impersonate users. This is particularly risky on RDP servers hosting administrative sessions as it could enable lateral movement within networks.

The malware obtains the current session and actively launches foreground windows as well as enumerates all other RDP sessions. For each identified session, it will access the Windows Explorer shell and duplicate its privileges or security token. The malware then gains capabilities to launch applications with these newly obtained privileges.

Data collection

StilachiRAT collects a variety of user data, including software installation records and active applications. It monitors active GUI windows, their title bar text, and file location, and sends this information to the C2 server, potentially allowing attackers to track user behavior.

Clipboard monitoring

StilachiRAT has a functionality that is responsible for monitoring clipboard data. Specifically, the malware can periodically read the clipboard, extract text based on search expressions, and then exfiltrate this data. Clipboard monitoring is continuous, with targeted searches for sensitive information such as passwords, cryptocurrency keys, and potentially personal identifiers.

The list below includes the regular search expressions used to extract certain credentials. These are associated with the Tron Cryptocurrency blockchain that is popular in Asia, especially in China.

The same search expressions are then used to iterate files in the following locations:

• %USERPROFILE%\Desktop
• %USERPROFILE%\Recent

Anti-forensic measures

StilachiRAT displays anti-forensic behavior by clearing event logs and checking certain system conditions to evade detection. This includes looping checks for analysis tools and sandbox timers that prevent its full activation in virtual environments commonly used for malware analysis.

Additionally, Windows API calls are obfuscated in multiple ways and a custom algorithm is used to encode many text strings and values. This significantly slows down analysis time since extrapolating higher level logic and code design becomes a more complex effort.

The malware employs API-level obfuscation techniques to impede manual analysis, specifically by concealing its use of Windows APIs (e.g., RegOpenKey()). Instead of referencing API names directly, it encodes them as checksums that are resolved dynamically at runtime. While this is a common technique in malware, the authors have introduced additional layers of obfuscation.

Precomputed API checksums are stored in multiple lookup tables, each masked with an XOR value. During launch, the malware selects the appropriate table based on the hashed API name, applies the correct XOR mask to decode the value, and dynamically resolves the corresponding Windows API function. The resolved function pointer is then cached, but with an additional XOR mask applied, preventing straightforward memory scans from identifying API references.

Commands launched from the C2 server

StilachiRAT can launch various commands received from the C2 server. These commands include system reboot, log clearing, credential theft, executing applications, and manipulating system windows. Additionally, it can suspend the system, modify Windows registry values, and enumerate open windows, indicating a versatile command set for both espionage and system manipulation. The C2 server’s command structure assigns specific numbers to what commands it will initiate. The following section presents details on the said commands.

07 – Dialog box

Uses the Windows API function ShowHTMLDialogEx() to display a dialog box with rendered HTML contents from a supplied URL.

08 – Log clearing

Given an event log type, the relevant Windows APIs are used to open and then clear the log entries.

09 – System reboot

Adjusts its own executing privileges to enable system shutdown and uses an undocumented Windows API to perform the action.

13 – Network sockets

Appears to contain capability to receive a network address from C2 server and establish a new outbound connection.

14 – TCP incoming

Accepts an incoming network connection on the supplied TCP port.

15 – Terminate

If there’s an open network connection, then close it and disable the Windows service controlling this process. This appears to be the self-removal (uninstall) command.

16 – Initiate application

The malware creates a console window and initiates a command to launch the program provided by the C2 operator using the WinExec() API.

19 – Enumerate Windows

Iterates all windows of the current desktop to look for a requested title bar text. This might allow the operator to access specific GUI applications and their contents, both onscreen and clipboard.

26 – Suspend

Uses the SetSuspendState() API to put the system into either a suspended (sleep) state or hibernation.

30 – Chrome credentials

Launches the earlier mentioned functionality to steal Google Chrome passwords.

Mitigations

Malware like StilachiRAT can be installed through various vectors. The following mitigations can help prevent this type of malware from infiltrating the system and reduce the attack surface:

• In some cases, RATs can masquerade as legitimate software or software updates. Always download software from the official website of the software developer or from reputable sources.
• Encourage users to use Microsoft Edge and other web browsers that support SmartScreen, which identifies and blocks malicious websites, including phishing sites, scam sites, and sites that host malware.
• Turn on Safe Links and Safe Attachments for Office 365. In organizations with Microsoft Defender for Office 365, Safe Links scanning protects your organization from malicious links that are used in phishing and other attacks. Specifically, Safe Links provides URL scanning and rewriting of inbound email messages during mail flow, and time-of-click verification of URLs and links in email messages, Microsoft Teams, and supported Office 365 apps. Safe Attachments provides an additional layer of protection for email attachments that have already been scanned by anti-malware protection in Exchange Online Protection (EOP).
• Enable network protection in Microsoft Defender for Endpoint to prevent applications or users from accessing malicious domains and other malicious content on the internet. You can audit network protection in a test environment to view which apps would be blocked before enabling network protection.

General hardening guidelines:

• Ensure that tamper protection is enabled in Microsoft Dender for Endpoint.
• Run endpoint detection and response in block mode so that Microsoft Defender for Endpoint can block malicious artifacts, even when your non-Microsoft antivirus does not detect the threat or when Microsoft Defender Antivirus is running in passive mode.
• Configure investigation and remediation in full automated mode to let Microsoft Defender for Endpoint take immediate action on alerts to resolve breaches, significantly reducing alert volume.
• Turn on Potentially unwanted applications (PUA) protection in block mode in Microsoft Defender Antivirus. PUA are a category of software that can cause your machine to run slowly, display unexpected ads, or install other software that might be unexpected or unapproved.
• Turn on cloud-delivered protection in Microsoft Defender Antivirus or the equivalent for your antivirus product to cover rapidly evolving attacker tools and techniques.
• Turn on Microsoft Defender Antivirus real-time protection.

Microsoft Defender XDR detections

Microsoft Defender XDR customers can refer to the list of applicable detections below. Microsoft Defender XDR coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Customers with provisioned access can also use Microsoft Security Copilot in Microsoft Defender to investigate and respond to incidents, hunt for threats, and protect their organization with relevant threat intelligence.

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects this threat as the following malware:

• TrojanSpy:Win64/Stilachi.A

Microsoft Defender for Endpoint

The following alerts might indicate threat activity related to this threat. Note, however, that these alerts can be also triggered by unrelated threat activity.

• A process was injected with potentially malicious code
• Process hollowing detected
• Suspicious service launched
• Possible theft of passwords and other sensitive web browser information

Microsoft Security Copilot

Security Copilot customers can use the standalone experience to create their own prompts or run the following pre-built promptbooks to automate incident response or investigation tasks related to this threat:

• Incident investigation
• Microsoft User analysis
• Threat actor profile
• Threat Intelligence 360 report based on MDTI article
• Vulnerability impact assessment

Note that some promptbooks require access to plugins for Microsoft products such as Microsoft Defender XDR or Microsoft Sentinel.

Hunting queries

Microsoft Defender XDR

Microsoft Defender XDR customers can run the following query to find related activity in their networks:

Look for suspicious outbound network connections

Monitor network traffic for malicious activity caused by remote access trojans by focusing on identifying unusual outbound connections, irregular port activity, and suspicious data exfiltration patterns that may indicate RAT presence.

Outbound ports associated with common data transfer protocols such as HTTP/HTTPS (port 80/443), SMB (port 445), and DNS (port 53) or less common ports like 16000 used for specific applications and services for network communications might indicate such activity.

let domains = dynamic(['domain1', 'domain2', 'domain3']);
DeviceNetworkEvents
| where RemotePort in (53, 443, 16000)
| where Protocol == "Tcp"
| where RemoteUrl has_any (domains)
| project Timestamp, DeviceName, RemoteIP, RemotePort, InitiatingProcessCommandLine, ActionType, DeviceId, LocalIP, RemoteUrl, InitiatingProcessFileName

Look for signs of persistence

The malware can be run both as a Windows Service or a standalone component. To identify persistence and suspicious services, monitor for the following event IDs:

• Event ID 7045 – a new service was installed on the system. Monitor for suspicious services.
• Event ID 7040 – start type of a service is changed (boot, on-request). Boot may be a vector for the RAT to persist during a system reboot. On request indicates that the process must request the SCM to start the service.
• Correlated with Event ID 4697 – a service was installed on the system (Security log)

DeviceEvents
|where ActionType == “ServiceInstalled”
| project Timestamp, DeviceId,ActionType, FileName, FolderPath, InitiatingProcessCommandLine

Look for anti-forensic behavior

To identify potential event log clearing, monitor for the following event IDs:

• Event ID 1102 (Security log)
• Event ID 104 (System log)

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain/IP/Hash indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Additionally, Sentinel users can use the following query to detect when the security event log has been cleared, a potential indicator of an attempt to erase system evidence.

SecurityEvent
  | where EventID == 1102 and EventSourceName == "Microsoft-Windows-Eventlog"
  | summarize StartTimeUtc = min(TimeGenerated), EndTimeUtc = max(TimeGenerated), EventCount = count() by Computer, Account, EventID, Activity
  | extend HostName = tostring(split(Computer, ".")[0]), DomainIndex = toint(indexof(Computer, '.'))
  | extend HostNameDomain = iff(DomainIndex != -1, substring(Computer, DomainIndex + 1), Computer)
  | extend AccountName = tostring(split(Account, @'\')[1]), AccountNTDomain = tostring(split(Account, @'\')[0])

Sentinel users can also use the following query to detect service installations or modifications in service settings, which may indicate potential persistence mechanisms used by attackers.

Event 
  // 7045: A service was installed in the system
 //  7040: A service setting has been changed
  | where Source == "Service Control Manager" 
  | where EventID in ( '7045', '7040')
  | parse EventData with * 'ServiceName">' ServiceName "<" * 'ImagePath">' ImagePath "<" *
  | parse EventData with * 'AccountName">' AccountName "<" *
  | summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated) by EventID, Computer, ServiceName, ImagePath, AccountName

Indicators of compromise

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog: https://aka.ms/threatintelblog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn at https://www.linkedin.com/showcase/microsoft-threat-intelligence, and on X (formerly Twitter) at https://x.com/MsftSecIntel.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast: https://thecyberwire.com/podcasts/microsoft-threat-intelligence.

Microsoft is committed to delivering comprehensive customer experience through various Microsoft Offerings. Our approach goes beyond traditional support by focusing on detection, prevention, and in-depth mitigation to help customers quickly respond to security incidents and build resiliency. Want to know how to Build a More Secure Tomorrow? Check our Unified and Security eBook and visit https://aka.ms/Unified

Dmitriy Pletnev and Daria Pop
Microsoft Incident Response

The post StilachiRAT analysis: From system reconnaissance to cryptocurrency theft appeared first on Microsoft Security Blog.

GitHub was the primary platform used in the delivery of the initial access payloads and is referenced throughout this blog post; however, Microsoft Threat Intelligence also observed one payload hosted on Discord and another hosted on Dropbox.

The GitHub repositories, which were taken down, stored malware used to deploy additional malicious files and scripts. Once the initial malware from GitHub gained a foothold on the device, the additional files deployed had a modular and multi-stage approach to payload delivery, execution, and persistence. The files were used to collect system information and to set up further malware and scripts to exfiltrate documents and data from the compromised host. This activity is tracked under the umbrella name Storm-0408 that we use to track numerous threat actors associated with remote access or information-stealing malware and who use phishing, search engine optimization (SEO), or malvertising campaigns to distribute malicious payloads.

In this blog, we provide our analysis of this large-scale malvertising campaign, detailing our findings regarding the redirection chain and various payloads used across the multi-stage attack chain. We further provide recommendations for mitigating the impact of this threat, detection details, indicators of compromise (IOCs), and hunting guidance to locate related activity. By sharing this research, we aim to raise awareness about the tactics, techniques, and procedures (TTPs) used in this widespread activity so organizations can better prepare and implement effective mitigation strategies to protect their systems and data.

We would like to thank the GitHub security team for their prompt response and collaboration in taking down the malicious repositories.

GitHub activity and redirection chain

Since at least early December 2024, multiple hosts downloaded first-stage payloads from malicious GitHub repositories. The users were redirected to GitHub through a series of other redirections. Analysis of the redirector chain determined the attack likely originated from illegal streaming websites where users can watch pirated videos. The streaming websites embedded malvertising redirectors within movie frames to generate pay-per-view or pay-per-click revenue from malvertising platforms. These redirectors subsequently routed traffic through one or two additional malicious redirectors, ultimately leading to another website, such as a malware or tech support scam website, which then redirected to GitHub.

Multiple stages of malware were deployed in this campaign, as listed below, and the several different stages of activity that occurred depended on the payload dropped during the second stage.

• The first-stage payload that was hosted on GitHub served as the dropper for the next stage of payloads.
• The second-stage files were used to conduct system discovery and to exfiltrate system information that was Base64-encoded into the URL and sent over HTTP to an IP address. The information collected included data on memory size, graphic details, screen resolution, operating system (OS), and user paths.
• Various third-stage payloads were deployed depending on the second-stage payload. In general, the third-stage payload conducted additional malicious activities such as command and control (C2) to download additional files and to exfiltrate data, as well as defense evasion techniques.

The full redirect chain was composed of four to five layers. Microsoft researchers determined malvertising redirectors were contained within an iframe on illegal streaming websites.

There were several redirections that occurred before arriving at the malicious content stored on GitHub.

Attack chain

Once the redirection to GitHub occurred, the malware hosted on GitHub established the initial foothold on the user’s device and functioned as a dropper for additional payload stages and running malicious code. The additional payloads included information stealers to collect system and browser information on the compromised device, of which most were either Lumma stealer or an updated version of Doenerium. Depending on the initial payload, the deployment of NetSupport, a remote monitoring and management (RMM) software, was also often deployed alongside the infostealer. Besides the information stealers, PowerShell, JavaScript, VBScript, and AutoIT scripts were run on the host. The threat actors incorporated use of living-off-the-land binaries and scripts (LOLBAS) like PowerShell.exe, MSBuild.exe, and RegAsm.exe for C2 and data exfiltration of user data and browser credentials.

After the initial foothold was gained, the activity led to a modular and multi-stage approach to payload delivery, execution, and persistence. Each stage dropped another payload with a different function, as outlined below. Actions conducted across these stages include system discovery (memory, GPU, OS, signed-in users, and others), opening browser credential files, Data Protection API (DPAPI) crypt data calls, and other functions such as obfuscated script execution and named pipe creations to conduct data exfiltration. Persistence was achieved through modification of the registry run keys and the addition of a shortcut file to the Windows Startup folder.

Several stages of malicious activity to conduct deployment of additional malware, collections, and exfiltration of data to a C2 were observed. While not every single initial payload followed these exact steps, this is an overall view of what occurred across most incidents analyzed:

First-stage payload: Establishing a foothold on the host

During the first stage, a payload is dropped onto the user’s device from the binary hosted on GitHub, establishing a foothold on that device. As of mid-January 2025, the first-stage payloads discovered were digitally signed with a newly created certificate. A total of twelve different certificates were identified, all of which have been revoked.

Most of these initial payloads dropped the following legitimate files to leverage their functionality. These files were either leveraged by the first-stage payload or by later-stage payloads, depending on the actions being conducted.

Depending on the first-stage payload that was initially established on the compromised device, Microsoft observed different second-stage payloads and several different methods for delivering these payloads to the device.

Second-stage payload: System discovery, collection, and exfiltration

The main purpose of the second-stage payload is to conduct system discovery and collect that data for exfiltration to the C2. The system information collected includes data such as memory size, graphic card details, screen resolution, operating system, user paths, and a reference to the second-stage payload’s file name.

This was accomplished by querying the registry key HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\ProductName for the Windows OS version and running commands, such as the echo command, to gather the device’s name (%COMPUTERNAME%) and domain name (%USERDOMAIN%).

System data collected by the second-stage payload is Base64-encoded and exfiltrated as a query parameter to an IP address.

Third-stage payload: PowerShell and .exe binary

Depending on the second-stage payload, either one or multiple executables are dropped onto the compromised device, and sometimes an accompanying encoded PowerShell script. These files initiate a chain of events that conduct command execution, payload delivery, defensive evasion, persistence, C2 communications, and data exfiltration. The analysis of the dropped executables is first discussed below, followed by review of the PowerShell scripts observed.

Third-stage .exe analysis

The second-stage payloads run the dropped third-stage executables using the command prompt (for example, cmd.exe  /d /s /c “”C:\Users\<user>\AppData\Local\Temp\ApproachAllan.exe””). The /c flag ensures that the command runs and exits quickly. When the third-stage .exe runs, it drops a command file (.cmd) and launches it using the command prompt (for example, “cmd.exe” /c copy Beauty Beauty.cmd && Beauty.cmd). The .cmd file performs several actions, such as running tasklist, to initiate the discovery of running programs. This is followed by the findstr to search for keywords associated with security software:

The .cmd file also concatenates multiple files into one with a single character file name: “cmd /c copy /b ..\Verzeichnis + ..\Controlling + ..\Constitute + ..\Enjoyed + ..\Confusion + ..\Min +..\Statutory J”. This single character filename is used next.

Following this, the third-stage .exe produces an AutoIT v3 interpreter file that is renamed from the typical file name of AutoIt3.exe and uses a .com file extension. The .cmd file initiates the execution of the .com file against the single character binary (such as Briefly.com J). Note, most of the second-stage payloads follow this progression chain, and as mentioned a second-stage payload can also drop multiple executables, all following the same process. For example:

First stage

• X-essentiApp.exe

Second stage

• Ionixnignx.exe

Third stage

• EverybodyViewing.exe
• ReliefOrganizational.exe
• InflationWinston.exe

Third-stage command files

• Beauty.cmd
• Possess.cmd
• Villa.cmd

Fourth-stage AutoIT .com files

• Alexandria.com
• Kills.com
• Briefly.com

We observed multiple .com files originating from different dropped executables, each performing distinct functions while occasionally overlapping in behavior. These files facilitate persistence, process injection, remote debugging, and data exfiltration through various mechanisms. One .com file, such as Alexandria.com, drops a .scr file (another renamed AutoIT interpreter), and a .js (JavaScript) file with the same name as the .scr file. The purpose of the JavaScript file is to ensure persistence by creating a .url internet shortcut that points to the JavaScript file and is placed in the Startup folder, ensuring that the .scr file executes when the .js file executes (through Wscript.exe) upon user sign-in. Alternatively, persistence can be achieved using scheduled task creation. The .scr file can initiate C2 connections, enable remote debugging on Chrome or Edge within a hidden desktop session, or create TCP listening sockets on ports 9220-9229. This functionality allows threat actors to monitor browsing activity and interact with an active browser instance. These files can also open sensitive data files, indicating their role in facilitating post-exploitation activities.

Another .com file, such as affiliated.com, also focuses on remote debugging and browser monitoring. In addition to remote monitoring, affiliated.com initiates network connections to Telegram, Let’s Encrypt, and threat actor domains, potentially for C2 or exfiltration. It also accesses DPAPI to decrypt sensitive stored credentials and retrieve browser data.

The final observed .com file, such as Briefly.com, exhibits behavior similar to affiliated.com but extends its capabilities to include screenshot capture, data exfiltration, and PowerShell-based execution. This file accesses browser and user data for collection, establishes connections to Pastebin and additional C2 domains, and drops the fourth-stage PowerShell script.

The order in which these .com files run is not strictly defined, as one or multiple files can perform overlapping functions depending on the third-stage payload. In many cases, the .com files also leverage LOLBAS like RegAsm.exe by dropping a legitimate file into the %TEMP% directory or injecting malicious code into it using NtAllocateVirtualMemory and SetThreadContext API function calls. RegAsm.exe is used to establish C2 connections over TCP ports 15647 or 9000, exfiltrating data, accessing DPAPI for decryption, monitoring keystrokes using the WH_KEYBOARD_LL hook, and more. This flexibility in execution allows threat actors to tailor their approach based on environmental factors, such as security configurations and user activity.

Browser data files seen accessed:

• \AppData\Roaming\Mozilla\Firefox\Profiles\<user profile uid>.default-release\cookies.sqlite
• \AppData\Roaming\Mozilla\Firefox\Profiles\<user profile uid>.default-release\formhistory.sqlite
• \AppData\Roaming\Mozilla\Firefox\Profiles\<user profile uid>.default-release\key4.db
• \AppData\Roaming\Mozilla\Firefox\Profiles\<user profile uid>.default-release\logins.json
• \AppData\Local\Google\Chrome\User Data\Default\Web Data
• \AppData\Local\Google\Chrome\User Data\Default\Login Data
• \AppData\Local\Microsoft\Edge\User Data\Default\Login Data

User data file paths seen accessed:

• C:\\Users\<user>\\OneDrive
• C:\\Users\<user>\\Documents
• C:\\Users\<user>\\Downloads

Third-stage PowerShell analysis

If a PowerShell script is also dropped by the second-stage payload, it includes Base64-obfuscated commands to conduct actions, such as use curl to download additional files like NetSupport from the C2, create persistence for the NetSupport RAT, and exfiltrate system information to C2 servers. To ensure no errors or the progress meter is displayed on the compromised device, the curl command is often used with the –silent option when downloading files from the C2. PowerShell is often configured to run without restrictions with the -ExecutionPolicy Bypass parameter.

As an example, in some of the incidents, when the second-stage payload runs, a PowerShell script is dropped and executed. The script sends the compromised device’s name to the C2 and downloads NetSupport RAT from the same C2.

• Second-stage payload: Squarel.exe
• PowerShell script: SHA-256: d70ccae7914fc8c36c9e11b2a7f10bebd7f5696e78d8836554f4990b0f688dbb
• C2 domain: keikochio[.]com
• NetSupport RAT: SHA-256: 32a828e2060e92b799829a12e3e87730e9a88ecfa65a4fc4700bdcc57a52d995

In another case, a second-stage payload drops a PowerShell script, which connects to hxxps://ipinfo[.]io to gather the compromised device’s external-facing IP address. This information is sent to a Telegram chat, then drops presentationhost.exe (a renamed NetSupport binary) and remcmdstub.exe (NetSupport Command Manager) into the %TEMP% directory. Finally, the PowerShell script establishes persistence for presentationhost.exe by adding it to the auto-start extensibility points (ASEP) registry keys. When it runs, the NetSupport RAT connects to the C2 and captures a screenshot of the compromised device’s desktop. It also delivers a Lumma executable that drops a VBScript file with the same name. The VBScript file runs encoded PowerShell to initiate C2 connections and launches MSBuild.exe to enable Chrome remote debugging on a hidden desktop. Additionally, presentationhost.exe initiates remcmdstub.exe, which leverages iScrPaint.exe (iTop Screen Recorder) to run MSBuild.exe and access browser credential files for exfiltration. The iScrPaint.exe file also establishes persistence by placing a .lnk shortcut in the Windows Startup folder, ensuring it runs on system reboot.

• Second-stage payload: Application.exe
• PowerShell script: SHA-256: 483796a64f004a684a7bc20c1ddd5c671b41a808bc77634112e1703052666a64
• C2: hxxp://5.10.250[.]240/fakeurl.htm

The last observed third-stage PowerShell script was dropped by three second-stage payloads. The script sends the compromised device’s name to the C2 server. It then changes the working directory to $env:APPDATA, before using Start-BitsTransfer to download NetSupport from the C2. To evade detection, it modifies system security settings forcing TLS1.2 for encrypted C2 communication. These files are extracted into a newly created WinLibraryClient directory under AppData and then are launched. The script establishes persistence for the client32.exe (NetSupport RAT) by modifying the ASEP registry. Client32.exe initiates C2 connections to hxxp://79.132.128[.]77/fakeurl.htm.

• Second-stage payloads: SalmonSamurai.exe, LakerBaker.exe, and DisplayPhotoViewer.exe
• PowerShell script: SHA-256: 670218cfc5c16d06762b6bc74cda4902087d812e72c52d6b9077c4c4164856b6
• C2 domain: stocktemplates[.]net

Additionally, one observed execution included registry enumeration of HKCU:\Software\Microsoft\Windows\CurrentVersion\Uninstall\ to identify installed applications and security software. It also queries the system’s domain status using Windows Management Instrumentation (WMI) and scans for cryptocurrency wallets, including Ledger Live, Trezor Suite, KeepKey, BCVault, OneKey, and BitBox, indicating potential financial data theft.

Fourth-stage PowerShell analysis

Depending on the .com file that ran (like Briefly.com), the renamed AutoIT file may drop a PowerShell script (SHA-256: 2a29c9904d1860ea3177da7553c8b1bf1944566e5bc1e71340d9e0ff079f0bd3). The obfuscated PowerShell code uses the Add-MpPreference cmdlet to modify Microsoft Defender to add in exclusion paths for Microsoft Defender, so the specified folders are not scanned.

The script above is sometimes followed by an instance of Base64-encoded PowerShell commands. The PowerShell commands perform the following actions:

• Sends a web request to hxxps://360[.]net and closes the response.
• Sends a web request to hxxps://baidu[.]com and closes the response.
• Downloads data from hxxps://klipcatepiu0[.]shop/int_clp_sha.txt using a web client.
• Writes the downloaded data to a memory stream and saves it as a .zip file named null.zip (SHA-256: f07b8e5622598c228bfc9bff50838a3c4fffd88c436a7ef77e6214a40b0a2bae) in the C:\Users\<Username>\AppData\Local\Temp directory.

Recommendations

Microsoft recommends the following mitigations to reduce the impact of this threat.

Strengthen Microsoft Defender for Endpoint configuration

• Ensure that tamper protection is enabled in Microsoft Defender for Endpoint. 
• Enable network protection in Microsoft Defender for Endpoint. 
• Turn on web protection.
• Run endpoint detection and response (EDR) in block mode so that Microsoft Defender for Endpoint can block malicious artifacts, even when your non-Microsoft antivirus does not detect the threat or when Microsoft Defender Antivirus is running in passive mode. EDR in block mode works behind the scenes to remediate malicious artifacts that are detected post-breach.     
• Configure investigation and remediation in full automated mode to let Microsoft Defender for Endpoint take immediate action on alerts to resolve breaches, significantly reducing alert volume.  
• Microsoft Defender XDR customers can turn on the following attack surface reduction rules to prevent common attack techniques used by threat actors. 
  • Block executable files from running unless they meet a prevalence, age, or trusted list criterion 
  • Block execution of potentially obfuscated scripts
  • Block JavaScript or VBScript from launching downloaded executable content
  • Block process creations originating from PSExec and WMI commands
  • Block credential stealing from the Windows local security authority subsystem 
  • Block use of copied or impersonated system tools

Strengthen operating environment configuration

• Require multifactor authentication (MFA). While certain attacks such as adversary-in-the-middle (AiTM) phishing attempt to circumvent MFA, implementation of MFA remains an essential pillar in identity security and is highly effective at stopping a variety of threats.
  • Leverage phishing-resistant authentication methods such as FIDO Tokens, or Microsoft Authenticator with passkey. Avoid telephony-based MFA methods to avoid risks associated with SIM-jacking.
• Implement Entra ID Conditional Access authentication strength to require phishing-resistant authentication for employees and external users for critical apps.
• Encourage users to use Microsoft Edge and other web browsers that support Microsoft Defender SmartScreen, which identifies and blocks malicious websites, including phishing sites, scam sites, and sites that host malware.
• Enable Network Level Authentication for Remote Desktop Service connections.
• Enable Local Security Authority (LSA) protection to block credential stealing from the Windows local security authority subsystem. 
• AppLocker can restrict specific software tools prohibited within the organization, such as reconnaissance, fingerprinting, and RMM tools, or grant access to only specific users.

Microsoft Defender XDR detections

Microsoft Defender XDR customers can refer to the list of applicable detections below. Microsoft Defender XDR coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Customers with provisioned access can also use Microsoft Security Copilot in Microsoft Defender to investigate and respond to incidents, hunt for threats, and protect their organization with relevant threat intelligence.

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects threat components as the following malware:

• Trojan:Win64/LummaStealer
• Trojan:Win32/Malgent
• Behavior:Win32/Eldorado
• Behavior:Win32/LuammaStealer
• Trojan:PowerShell/Powdow
• Trojan:Win64/Shaolaod
• Behavior:Win64/Shaolaod

Microsoft Defender for Endpoint

The following alerts might indicate threat activity associated with this threat. These alerts, however, can be triggered by unrelated threat activity.

• Possible theft of passwords and other sensitive web browser information
• Possible Lumma Stealer activity
• Renamed AutoIt tool
• Use of living-off-the-land binary to run malicious code
• Suspicious startup item creation
• Suspicious Scheduled Task Process Launched
• Suspicious DPAPI Activity
• Suspicious implant process from a known emerging threat
• Security software tampering
• Suspicious activity linked to a financially motivated threat actor detected
• Ransomware-linked threat actor detected
• A file or network connection related to a ransomware-linked emerging threat activity group detected
• Information stealing malware activity
• Possible NetSupport Manager activity
• Suspicious sequence of exploration activities
• Defender detection bypass
• Suspicious Location of Remote Management Software
• A process was injected with potentially malicious code
• Process hollowing detected
• Suspicious PowerShell download or encoded command execution
• Suspicious PowerShell command line
• Suspicious behavior by cmd.exe was observed
• Suspicious Security Software Discovery
• Suspicious discovery indicative of Virtualization/Sandbox Evasion
• A process was launched on a hidden desktop
• Monitored keystrokes
• Suspicious Process Discovery
• Suspicious Javascript process
• A suspicious file was observed
• Anomaly detected in ASEP registry

Microsoft Defender for Cloud

The following alerts might indicate threat activity associated with this threat. These alerts, however, can be triggered by unrelated threat activity.

• Detected suspicious combination of HTA and PowerShell
• Suspicious PowerShell Activity Detected
• Traffic detected from IP addresses recommended for blocking
• Attempted communication with suspicious sinkholed domain
• Communication with suspicious domain identified by threat intelligence
• Detected obfuscated command line
• Detected suspicious named pipe communications

Microsoft Security Copilot

Security Copilot customers can use the standalone experience to create their own prompts or run the following pre-built promptbooks to automate incident response or investigation tasks related to this threat:

• Incident investigation
• Microsoft User analysis
• Threat actor profile
• Threat Intelligence 360 report based on MDTI article
• Vulnerability impact assessment

Note that some promptbooks require access to plugins for Microsoft products such as Microsoft Defender XDR or Microsoft Sentinel.

Threat intelligence reports

Microsoft customers can use the following reports in Microsoft products to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender Threat Intelligence

• Storm-0408
• Agent Tesla credential theft malware
• Information stealers
• Lumma stealer
• Abuse of remote monitoring and management tools
• Malicious use of PowerShell

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Hunting queries

Microsoft Defender XDR

Microsoft Defender XDR customers can run the following query to find related activity in their networks:

Github-hosted first-stage payload certificate serial numbers

let specificSerialNumbers = dynamic(["70093af339876742820d7941", "15042512e67e8275f3f7f36b", "5608cab7e2ce34d53abcbb73",
 "0fa27d2553f24da79d1cc6bd8773ee9a", "7a7bf2ae0cbc0f5500db2946", "30d6c83a715bddb32e7956fe52d6b352",
  "301385aa36fae635e74bb88e", "30013cbbb16a7fd3c57f82707fb99c32", "5d00264a6b804ae6b28d9b16",
   "3a9c76f8304f77bd271921d9982f1ab6", "01f2c6c363767056abd80e9c", "0b09c88c0c8d15bed51a9eb4440f4bb0"]); 
union
(
    DeviceFileCertificateInfo
    | where CertificateSerialNumber in (specificSerialNumbers)
    | project DeviceName, CertificateSerialNumber, Signer, SHA1, IsSigned, Issuer, Timestamp
),
(
    DeviceTvmCertificateInfo
    | where SerialNumber in (specificSerialNumbers)
    | project DeviceId, SerialNumber, SignatureAlgorithm, Thumbprint, Path, IssueDate, ExpirationDate
)

Dropbox-hosted first-stage payload certificate serial number

Surface devices that may contain first-stage payloads hosted on Dropbox related to this activity. This query will search for the unique serial number of the known certificate related to this activity.

let specificSerialNumbers = dynamic(["7a7bf2ae0cbc0f5500db2946"]); 
union
(
    DeviceFileCertificateInfo
    | where CertificateSerialNumber in (specificSerialNumbers)
    | project DeviceName, CertificateSerialNumber, Signer, SHA1, IsSigned, Issuer, Timestamp
),
(
    DeviceTvmCertificateInfo
    | where SerialNumber in (specificSerialNumbers)
    | project DeviceId, SerialNumber, SignatureAlgorithm, Thumbprint, Path, IssueDate, ExpirationDate
)

Second-stage C2 IP addresses

Surface devices that may have communicated with second stage C2 IP addresses related to this activity.

let ipAddressToSearch = dynamic(["159.100.18.192", "192.142.10.246", "79.133.46.35", "84.200.24.191", "84.200.24.26", "89.187.28.253", "185.92.181.1"]);
union isfuzzy=true
(
    AzureDiagnostics
    | where identity_claim_ipaddr_s == ipAddressToSearch or conditions_sourceIP_s == ipAddressToSearch or CallerIPAddress == ipAddressToSearch or clientIP_s == ipAddressToSearch or clientIp_s == ipAddressToSearch or primaryIPv4Address_s == ipAddressToSearch or conditions_destinationIP_s == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AzureDiagnostics", IPAddress = coalesce(identity_claim_ipaddr_s, conditions_sourceIP_s, CallerIPAddress, clientIP_s, clientIp_s, primaryIPv4Address_s, conditions_destinationIP_s), AdditionalInfo = tostring(AdditionalFields)
),
(
    IdentityQueryEvents
    | where IPAddress == ipAddressToSearch or DestinationIPAddress == ipAddressToSearch
    | project Timestamp, Table = "IdentityQueryEvents", IPAddress = coalesce(IPAddress, DestinationIPAddress), AdditionalInfo = Query
),
(
    AADSignInEventsBeta
    | where IPAddress == ipAddressToSearch
    | project Timestamp, Table = "AADSignInEventsBeta", IPAddress, AdditionalInfo = UserAgent
),
(
    Heartbeat
    | where ComputerIP == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "Heartbeat", IPAddress = ComputerIP, AdditionalInfo = OSName
),
(
    CloudAppEvents
    | where IPAddress == ipAddressToSearch
    | project Timestamp, Table = "CloudAppEvents", IPAddress, AdditionalInfo = UserAgent
),
(
    DeviceNetworkEvents
    | where LocalIP == ipAddressToSearch or RemoteIP == ipAddressToSearch
    | project Timestamp, Table = "DeviceNetworkEvents", IPAddress = coalesce(LocalIP, RemoteIP), AdditionalInfo = InitiatingProcessCommandLine
),
(
    AADUserRiskEvents
    | where IpAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AADUserRiskEvents", IPAddress = IpAddress, AdditionalInfo = RiskEventType
),
(
    AADNonInteractiveUserSignInLogs
    | where IPAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AADNonInteractiveUserSignInLogs", IPAddress, AdditionalInfo = UserAgent
),
(
    MicrosoftAzureBastionAuditLogs
    | where TargetVMIPAddress == ipAddressToSearch or ClientIpAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "MicrosoftAzureBastionAuditLogs", IPAddress = coalesce(TargetVMIPAddress, ClientIpAddress), AdditionalInfo = UserAgent
)
| sort by Timestamp desc

Fourth-stage C2 IP addresses

Surface devices that may have communicated with fourth stage C2 IP addresses related to this activity.

let ipAddressToSearch = dynamic(["45.141.84.60", "91.202.233.18", "154.216.20.131", "5.10.250.240", "79.132.128.77"]);
union isfuzzy=true
(
    AzureDiagnostics
    | where identity_claim_ipaddr_s == ipAddressToSearch or conditions_sourceIP_s == ipAddressToSearch or CallerIPAddress == ipAddressToSearch or clientIP_s == ipAddressToSearch or clientIp_s == ipAddressToSearch or primaryIPv4Address_s == ipAddressToSearch or conditions_destinationIP_s == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AzureDiagnostics", IPAddress = coalesce(identity_claim_ipaddr_s, conditions_sourceIP_s, CallerIPAddress, clientIP_s, clientIp_s, primaryIPv4Address_s, o),
(
    IdentityQueryEvents
    | where IPAddress == ipAddressToSearch or DestinationIPAddress == ipAddressToSearch
    | project Timestamp, Table = "IdentityQueryEvents", IPAddress = coalesce(IPAddress, DestinationIPAddress), AdditionalInfo = Query
),
(
    AADSignInEventsBeta
    | where IPAddress == ipAddressToSearch
    | project Timestamp, Table = "AADSignInEventsBeta", IPAddress, AdditionalInfo = UserAgent
),
(
    Heartbeat
    | where ComputerIP == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "Heartbeat", IPAddress = ComputerIP, AdditionalInfo = OSName
),
(
    CloudAppEvents
    | where IPAddress == ipAddressToSearch
    | project Timestamp, Table = "CloudAppEvents", IPAddress, AdditionalInfo = UserAgent
),
(
    DeviceNetworkEvents
    | where LocalIP == ipAddressToSearch or RemoteIP == ipAddressToSearch
    | project Timestamp, Table = "DeviceNetworkEvents", IPAddress = coalesce(LocalIP, RemoteIP), AdditionalInfo = InitiatingProcessCommandLine
),
(
    AADUserRiskEvents
    | where IpAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AADUserRiskEvents", IPAddress = IpAddress, AdditionalInfo = RiskEventType
),
(
    AADNonInteractiveUserSignInLogs
    | where IPAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "AADNonInteractiveUserSignInLogs", IPAddress, AdditionalInfo = UserAgent
),
(
    MicrosoftAzureBastionAuditLogs
    | where TargetVMIPAddress == ipAddressToSearch or ClientIpAddress == ipAddressToSearch
    | project Timestamp = TimeGenerated, Table = "MicrosoftAzureBastionAuditLogs", IPAddress = coalesce(TargetVMIPAddress, ClientIpAddress), AdditionalInfo = UserAgent
)
| sort by Timestamp desc

Browser remote debugging 

Identify AutoIT scripts launching chromium-based browsers (such as chrome.exe, msedge.exe, brave.exe) in remote debugging mode.

DeviceProcessEvents 
| where InitiatingProcessVersionInfoInternalFileName == "AutoIt3.exe" // Check for "AutoIt" scripts, even if it's renamed.  
| where ProcessCommandLine has "--remote-debugging-port" // Identify Chromium based browsers (chrome.exe, msedge.exe, brave.exe etc) being launched in remote debugging mode. 
| project DeviceId, Timestamp, InitiatingProcessParentFileName, InitiatingProcessFileName, InitiatingProcessFolderPath, InitiatingProcessVersionInfoInternalFileName, InitiatingProcessCommandLine, FileName, ProcessCommandLine

DPAPI decryption via AutoIT

Identify DPAPI decryption activity originating from AutoIT scripts.

DeviceEvents
| where ActionType == "DpapiAccessed"
| where InitiatingProcessVersionInfoInternalFileName == "AutoIt3.exe"
| where (AdditionalFields has_any("Google Chrome", "Microsoft Edge") and AdditionalFields has_any("SPCryptUnprotect"))
| extend json = parse_json(AdditionalFields)
| extend dataDesp = tostring(json.DataDescription.PropertyValue)
| extend opType = tostring(json.OperationType.PropertyValue)
| where (dataDesp in~ ("Google Chrome", "Microsoft Edge") and opType =~ "SPCryptUnprotect")
| project Timestamp, ReportId, DeviceId, ActionType, InitiatingProcessParentFileName, InitiatingProcessFileName, InitiatingProcessVersionInfoInternalFileName, InitiatingProcessCommandLine, AdditionalFields, dataDesp, opType

DPAPI decryption via LOLBAS binaries

Identify DPAPI decryption activity originating from LOLBAS binaries (RegAsm.exe and MSBuild.exe).

DeviceEvents
| where ActionType == "DpapiAccessed"
| where InitiatingProcessFileName has_any ("RegAsm.exe", "MSBuild.exe")
| where (AdditionalFields has_any("Google Chrome", "Microsoft Edge") and  AdditionalFields has_any("SPCryptUnprotect"))
| extend json = parse_json(AdditionalFields)
| extend dataDesp = tostring(json.DataDescription.PropertyValue)
| extend opType = tostring(json.OperationType.PropertyValue)
| where (dataDesp in~ ("Google Chrome", "Microsoft Edge") and opType =~ "SPCryptUnprotect")
| project Timestamp, ReportId, DeviceId, ActionType, InitiatingProcessParentFileName, InitiatingProcessFileName, InitiatingProcessVersionInfoInternalFileName, InitiatingProcessCommandLine, AdditionalFields, dataDesp, opType

Sensitive browser file access via AutoIT

Identify AutoIT scripts (renamed or otherwise) accessing sensitive browser files.

let browserDirs = pack_array(@"\Google\Chrome\User Data\", @"\Microsoft\Edge\User Data\", @"\Mozilla\Firefox\Profiles\"); 
let browserSensitiveFiles = pack_array("Web Data", "Login Data", "key4.db", "formhistory.sqlite", "cookies.sqlite", "logins.json", "places.sqlite", "cert9.db");
DeviceEvents
| where AdditionalFields has_any ("FileOpenSource") // Filter for "File Open" events.
| where InitiatingProcessVersionInfoInternalFileName == "AutoIt3.exe"
| where (AdditionalFields has_any(browserDirs) or  AdditionalFields has_any(browserSensitiveFiles)) 
| extend json = parse_json(AdditionalFields)
| extend File_Name = tostring(json.FileName.PropertyValue)
| where (File_Name has_any (browserDirs) and File_Name has_any (browserSensitiveFiles))
| project Timestamp, ReportId, DeviceId, InitiatingProcessParentFileName, InitiatingProcessFileName, InitiatingProcessVersionInfoInternalFileName, InitiatingProcessCommandLine, File_Name

Sensitive browser file access via LOLBAS binaries

Identify LOLBAS binaries (RegAsm.exe and MSBuild.exe) accessing sensitive browser files.

let browserDirs = pack_array(@"\Google\Chrome\User Data\", @"\Microsoft\Edge\User Data\", @"\Mozilla\Firefox\Profiles\"); 
let browserSensitiveFiles = pack_array("Web Data", "Login Data", "key4.db", "formhistory.sqlite", "cookies.sqlite", "logins.json", "places.sqlite", "cert9.db");
DeviceEvents
| where AdditionalFields has_any ("FileOpenSource") // Filter for "File Open" events.
| where InitiatingProcessFileName has_any ("RegAsm.exe", "MSBuild.exe")
 | where (AdditionalFields has_any(browserDirs) or  AdditionalFields has_any(browserSensitiveFiles)) 
| extend json = parse_json(AdditionalFields)
| extend File_Name = tostring(json.FileName.PropertyValue)
| where (File_Name has_any (browserDirs) and File_Name has_any (browserSensitiveFiles))
| project Timestamp, ReportId, DeviceId, InitiatingProcessParentFileName, InitiatingProcessFileName, InitiatingProcessVersionInfoInternalFileName, InitiatingProcessCommandLine, File_Name

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Indicators of compromise

Streaming website domains with malicious iframe

Malicious iframe redirector domains

Malvertisement distributor

Malvertising website domains

GitHub referral URLs

GitHub URLs

DropBox URL

Discord URL

First stage GitHub-hosted payloads

First-stage Dropbox-hosted payload

First-stage Discord-hosted payload

Certificate signatures of GitHub-hosted payloads

Certificate signature of Dropbox-hosted payload

Second-stage payloads

Second-stage C2s

Third-stage payloads: .exe and PowerShell files

Fourth-stage AutoIT, NetSupport RAT, PowerShell, and Lumma

Third-stage C2s

Fourth-stage C2s

Fourth-stage testing connectivity sites

References

• https://developer.mozilla.org/en-US/docs/Web/HTML/Element/iframe
• https://github.com/antivirusevasion69/doenerium
• https://curl.se/docs/manpage.html#-s
• https://www.virustotal.com/gui/file/2a29c9904d1860ea3177da7553c8b1bf1944566e5bc1e71340d9e0ff079f0bd3

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog: https://aka.ms/threatintelblog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn at https://www.linkedin.com/showcase/microsoft-threat-intelligence, and on X (formerly Twitter) at https://x.com/MsftSecIntel.

Hear more about this discovery and how threat actors in this campaign leverage trusted platforms and advanced techniques to achieve their malicious goals in this episode of the Microsoft Threat Intelligence podcast, hosted by Sherrod DeGrippo: https://thecyberwire.com/podcasts/microsoft-threat-intelligence/39/notes. To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast: https://thecyberwire.com/podcasts/microsoft-threat-intelligence.

The post Malvertising campaign leads to info stealers hosted on GitHub appeared first on Microsoft Security Blog.

Executive summary:
Microsoft Threat Intelligence identified a shift in tactics by Silk Typhoon, a Chinese espionage group, now targeting common IT solutions like remote management tools and cloud applications to gain initial access. While they haven’t been observed directly targeting Microsoft cloud services, they do exploit unpatched applications that allow them to elevate their access in targeted organizations and conduct further malicious activities. After successfully compromising a victim, Silk Typhoon uses the stolen keys and credentials to infiltrate customer networks where they can then abuse a variety of deployed applications, including Microsoft services and others, to achieve their espionage objectives. Our latest blog explains how Microsoft security solutions detect these threats and offers mitigation guidance, aiming to raise awareness and strengthen defenses against Silk Typhoon’s activities.

Silk Typhoon is an espionage-focused Chinese state actor whose activities indicate that they are a well-resourced and technically efficient group with the ability to quickly operationalize exploits for discovered zero-day vulnerabilities in edge devices. This threat actor holds one of the largest targeting footprints among Chinese threat actors. Part of this is due to their opportunistic nature of acting on discoveries from vulnerability scanning operations, moving quickly to the exploitation phase once they discover a vulnerable public-facing device that they could exploit.

As a result, Silk Typhoon has been observed targeting a wide range of sectors and geographic regions, including but not limited to information technology (IT) services and infrastructure, remote monitoring and management (RMM) companies, managed service providers (MSPs) and affiliates, healthcare, legal services, higher education, defense,  government, non-governmental organizations (NGOs), energy, and others located in the United States and throughout the world.

Silk Typhoon has shown proficiency in understanding how cloud environments are deployed and configured, allowing them to successfully move laterally, maintain persistence, and exfiltrate data quickly within victim environments. Since Microsoft Threat Intelligence began tracking this threat actor in 2020, Silk Typhoon has used a myriad of web shells that allow them to execute commands, maintain persistence, and exfiltrate data from victim environments.

As with any observed nation-state threat actor activity, Microsoft has directly notified targeted or compromised customers, providing them with important information needed to secure their environments. We’re publishing this blog to raise awareness of Silk Typhoon’s recent and long-standing malicious activities, provide mitigation and hunting guidance, and help disrupt operations by this threat actor.

Recent Silk Typhoon activity

Supply chain compromise

Since late 2024, Microsoft Threat Intelligence has conducted thorough research and tracked ongoing attacks performed by Silk Typhoon. These efforts have significantly enhanced our understanding of the actor’s operations and uncovered new tradecraft used by the actor. In particular, Silk Typhoon was observed abusing stolen API keys and credentials associated with privilege access management (PAM), cloud app providers, and cloud data management companies, allowing the threat actor to access these companies’ downstream customer environments. Companies within these sectors are possible targets of interest to the threat actor. The observations below were observed once Silk Typhoon successfully stole the API key:

• Silk Typhoon used stolen API keys to access downstream customers/tenants of the initially compromised company.
• Leveraging access obtained via the API key, the actor performed reconnaissance and data collection on targeted devices via an admin account. Data of interest overlaps with China-based interests, US government policy and administration, and legal process and documents related to law enforcement investigations.
• Additional tradecraft identified included resetting of default admin account via API key, web shell implants, creation of additional users, and clearing logs of actor-performed actions.
• Thus far the victims of this downstream activity were largely in the state and local government, and the IT sector.

Password spray and abuse

Silk Typhoon has also gained initial access through successful password spray attacks and other password abuse techniques, including discovering passwords through reconnaissance. In this reconnaissance activity, Silk Typhoon leveraged leaked corporate passwords on public repositories, such as GitHub, and were successfully authenticated to the corporate account. This demonstrates the level of effort that the threat actor puts into their research and reconnaissance to collect victim information and highlights the importance of password hygiene and the use of multifactor authentication (MFA) on all accounts.

Silk Typhoon TTPs

Initial access

Silk Typhoon has pursued initial access attacks against targets of interest through development of zero-day exploits or discovering and targeting vulnerable third-party services and software providers. Silk Typhoon has also been observed gaining initial access via compromised credentials. The software or services targeted for initial access focus on IT providers, identity management, privileged access management, and RMM solutions.

In January 2025, Silk Typhoon was also observed exploiting a zero-day vulnerability in the public facing Ivanti Pulse Connect VPN (CVE-2025-0282). Microsoft Threat Intelligence Center reported the activity to Ivanti, which led to a rapid resolution of the critical exploit, significantly reducing the period that highly skilled and sophisticated threat actors could leverage the exploit.

Lateral movement to cloud

Once a victim has been successfully compromised, Silk Typhoon is known to utilize common yet effective tactics to move laterally from on-premises environments to cloud environments. Once the threat actor has gained access to an on-premises environment, they look to dump Active Directory, steal passwords within key vaults, and escalate privileges. Furthermore, Silk Typhoon has been observed targeting Microsoft AADConnect servers in these post-compromise activities. AADConnect (now Entra Connect) is a tool that synchronizes on-premises Active Directory with Entra ID (formerly Azure AD). A successful compromise of these servers could allow the actor to escalate privileges, access both on-premises and cloud environments, and move laterally.

Manipulating service principals/applications

While analyzing post-compromise tradecraft, Microsoft identified Silk Typhoon abusing service principals and OAuth applications with administrative permissions to perform email, OneDrive, and SharePoint data exfiltration via MSGraph. Throughout their use of this technique, Silk Typhoon has been observed gaining access to an application that was already consented within the tenant to harvest email data and adding their own passwords to the application. Using this access, the actors can steal email information via the MSGraph API. Silk Typhoon has also been observed compromising multi-tenant applications, potentially allowing the actors to move across tenants, access additional resources within the tenants, and exfiltrate data.

If the compromised application had privileges to interact with the Exchange Web Services (EWS) API, the threat actors were seen compromising email data via EWS.

In some instances, Silk Typhoon was seen creating Entra ID applications in an attempt to facilitate this data theft. The actors would typically name the application in a way to blend into the environment by using legitimate services or Office 365 themes.

Use of covert networks

Silk Typhoon is known to utilize covert networks to obfuscate their malicious activities. Covert networks, tracked by Microsoft as “CovertNetwork”, refer to a collection of egress IPs consisting of compromised or leased devices that may be used by one or more threat actors. Silk Typhoon was observed utilizing a covert network that is comprised of compromised Cyberoam appliances, Zyxel routers, and QNAP devices. The use of covert networks has become a common tactic among various threat actors, particularly Chinese threat actors.

Historical Silk Typhoon zero-day exploitation

Since 2021, Silk Typhoon has been observed targeting and compromising vulnerable unpatched Microsoft Exchange servers, GlobalProtect Gateway on Palo Alto Networks firewalls, Citrix NetScaler appliances, Ivanti Pulse Connect Secure appliances, and others. While not exhaustive, below are historical zero-day vulnerabilities that Silk Typhoon was observed compromising for initial access into victim environments.

GlobalProtect Gateway on Palo Alto Networks Firewalls

In March 2024, Silk Typhoon used a zero-day exploit for CVE-2024-3400 in GlobalProtect Gateway on Palo Alto Networks firewalls to compromise multiple organizations:

• CVE-2024-3400 – A command injection as a result of arbitrary file creation vulnerability in the GlobalProtect feature of Palo Alto Networks PAN-OS software for specific PAN-OS versions and distinct feature configurations may enable an unauthenticated attacker to execute arbitrary code with root privileges on the firewall.

Citrix NetScaler ADC and NetScaler Gateway

In early 2024, Microsoft began to observe Silk Typhoon compromising zero-day vulnerabilities within Citrix NetScaler ADC and NetScaler Gateways:

• CVE-2023-3519 – An unauthenticated remote code execution (RCE) vulnerability affecting NetScaler (formerly Citrix) Application Delivery Controller (ADC) and NetScaler Gateway

Microsoft Exchange Servers

In January 2021, Microsoft began to observe Silk Typhoon compromising zero-day vulnerabilities in Microsoft Exchange Servers. Upon discovery, Microsoft addressed those issues and issued security updates along with related guidance (related links below):

• CVE-2021-26855 – A server-side request forgery (SSRF) vulnerability in Exchange that could allow an attacker to send arbitrary HTTP requests and authenticate as the Exchange server.
• CVE-2021-26857 – An insecure deserialization vulnerability in the Unified Messaging service. Insecure deserialization is where untrusted user-controllable data is deserialized by a program. Exploiting this vulnerability gave Silk Typhoon the ability to run code as SYSTEM on the Exchange server. This requires administrator permission or another vulnerability to be exploited.
• CVE-2021-26858 – A post-authentication arbitrary file write vulnerability in Exchange. If Silk Typhoon could authenticate with the Exchange server, then it could use this vulnerability to write a file to any path on the server. It could authenticate by exploiting the CVE-2021-26855 SSRF vulnerability or by compromising a legitimate administrator’s credentials.
• CVE-2021-27065 – A post-authentication arbitrary file write vulnerability in Exchange. If Silk Typhoon could authenticate with the Exchange server, then it could use this vulnerability to write a file to any path on the server. It could authenticate by exploiting the CVE-2021-26855 SSRF vulnerability or by compromising a legitimate administrator’s credentials.

During recent activities and historical exploitation of these appliances, Silk Typhoon utilized a variety of web shells to maintain persistence and to allow the actors to remotely access victim environments.

Hunting guidance

To help mitigate and surface various aspects of recent Silk Typhoons activities, Microsoft recommends the following:

• Inspect log activity related to Entra Connect serversfor anomalousactivity.
• Where these targeted applications have highly privileged accounts, inspect service principals for newly created secrets (credentials).
• Identify and analyze any activity related to newly created applications.
• Identify all multi-tenant applications and scrutinize authentications to them.
• Analyze any observed activity related to use of Microsoft Graph or eDiscovery particularly for SharePoint or email data exfiltration
• Look for newly created users on devices impacted by vulnerabilities targeted by Silk Typhoon and investigate virtual private network (VPN) logs for evidence of VPN configuration modifications or sign-in activity during the possible window of compromise of unpatched devices.

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Microsoft Sentinel customers can use the following queries to detect behavior associated with Silk Typhoon:

• Anomalous password reset
• Privileged logon from new ASN
• Anomalous account creation
• Web shell activity
• Potential web shell
• Sign-in password spray
• Smart lockouts
• Credential dumping tools file artifacts
• NTDS theft
• Time series keyvault access anomaly
• Keyvault mass secret retrieval
• Suspicious sign-in by AADConnect account
• New service principal running queries
• SharePoint downloads by IP
• Anomaly of MailItem access by GraphAPI

Customers can use the following query to detect vulnerabilities exploited by Silk Typhoon:

DeviceTvmSoftwareVulnerabilities
| where CveId in ("CVE-2025-0282")
| project DeviceId,DeviceName,OSPlatform,OSVersion,SoftwareVendor,SoftwareName,SoftwareVersion,
CveId,VulnerabilitySeverityLevel
| join kind=inner ( DeviceTvmSoftwareVulnerabilitiesKB | project CveId, CvssScore,IsExploitAvailable,VulnerabilitySeverityLevel,PublishedDate,VulnerabilityDescription,AffectedSoftware ) on CveId
| project DeviceId,DeviceName,OSPlatform,OSVersion,SoftwareVendor,SoftwareName,SoftwareVersion,
CveId,VulnerabilitySeverityLevel,CvssScore,IsExploitAvailable,PublishedDate,VulnerabilityDescription,AffectedSoftware

Recommendations

To help detect and mitigate Silk Typhoon’s activity, Microsoft recommends the following:

• Ensure all public facing devices are patched. It’s important to note that patching a vulnerable device does not remediate any post-compromise activities by a threat actor who gained privileged access to a vulnerable device.
• Validate any Ivanti Pulse Connect VPN are patched to address CVE-2025-0282 and run the suggested Integrity Checker Tool as suggested in their Advisory. Consider terminating any active or persistent sessions following patch cycles.
• Defend against legitimate application and service principal abuse by establishing strong controls and monitoring for these security identities. Microsoft recommends the following mitigations to reduce the impact of this threat:
  • Audit the current privilege level of all identities, users, service principals, and Microsoft Graph Data Connect applications (use the Microsoft Graph Data Connect authorization portal) to understand which identities are highly privileged. Scrutinize privileges more closely if they belong to an unknown identity, belong to identities that are no longer in use, or are not fit for purpose. Admins may assign identities privileges over and above what is required. Defenders should pay attention to apps with app-only permissions as those apps might have over-privileged access. Read additional guidance for investigating compromised and malicious applications.Identify abused OAuth apps using anomaly detection policies. Detect abused OAuth apps that make sensitive Exchange Online administrative activities through Microsoft Defender for Cloud Apps. Investigate and remediate any risky OAuth apps.Review any applications that hold EWS.AccessAsUser.All and EWS.full_access_as_app permissions and understand whether they are still required in the tenant. This can be done using App governance in Microsoft Defender for Cloud Apps. If these permissions are no longer required, they should be removed.
  • If applications must access mailboxes, granular and scalable access can be implemented using role-based access control for applications in Exchange Online. This access model ensures applications are only granted to the specific mailboxes required.
• Monitor for service principal sign-ins from unusual locations. Two important reports can provide useful daily activity monitoring:
  • The risky sign-ins report surfaces attempted and successful user access activities where the legitimate owner might not have performed the sign-in. 
  • The risky users report surfaces user accounts that might have been compromised, such as a leaked credential that was detected or the user signing in from an unexpected location in the absence of planned travel. 
• Defend against credential compromise by building credential hygiene, practicing the principle of least privilege, and reducing credential exposure. Microsoft recommends the following mitigations to reduce the impact of this threat.
• Implement the Azure Security Benchmark and general best practices for securing identity infrastructure, including:
  • Prevent on-premises service accounts from having direct rights to the cloud resources to prevent lateral movement to the cloud.
  • Ensure that “break glass” account passwords are stored offline and configure honey-token activity for account usage.
  • Implement Conditional Access policies enforcing Microsoft’s Zero Trust principles.
• Enable risk-based user sign-in protection and automate threat response to block high-risk sign-ins from all locations and enable multifactor authentication (MFA) for medium-risk ones.
• Ensure that VPN access is protected using modern authentication methods.
• Identify all multi-tenant applications, assess permissions, and investigate suspicious sign-ins.

Indicators of compromise

Silk Typhoon is not known to use their own dedicated infrastructure in their operations. Typically, the threat actor uses compromised covert networks, proxies, and VPNs for infrastructure, likely to obfuscate their operations. However, they have also been observed using short-lease virtual private server (VPS) infrastructure to support their operations.

Microsoft Defender XDR detections

Microsoft Defender XDR customers can refer to the list of applicable detections below. Microsoft Defender XDR coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Customers with provisioned access can also use Microsoft Security Copilot in Microsoft Defender to investigate and respond to incidents, hunt for threats, and protect their organization with relevant threat intelligence.

Microsoft Defender for Endpoint

The following Microsoft Defender for Endpoint alerts can indicate associated threat activity:

• Silk Typhoon activity group

The following alerts might also indicate threat activity related to this threat. Note, however, that these alerts can be also triggered by unrelated threat activity.

• Possible exploitation of Exchange Server vulnerabilities
• Suspicious web shell detected
• Suspicious Active Directory snapshot dump
• Suspicious credential dump from NTDS.dit

Microsoft Defender for Identity

The following Microsoft Defender for Identity alerts can indicate associated threat activity:

• Suspicious Interactive Logon to the Entra Connect Server
• Suspicious writeback by Entra Connect on a sensitive user
• User Password Reset by Entra Connect Account
• Suspicious Entra sync password change

Microsoft Defender XDR

The following alerts might indicate threat activity related to this threat. Note, however, that these alerts can be also triggered by unrelated threat activity.

• Suspicious activities related to Azure Key Vault by a risky user

Microsoft Defender for Cloud

The following alerts might indicate threat activity related to this threat. Note, however, that these alerts can be also triggered by unrelated threat activity.

• Unusual user accessed a key vault
• Unusual application accessed a key vault
• Access from a suspicious IP to a key vault
• Denied access from a suspicious IP to a key vault

Microsoft Defender for Cloud Apps

The following Microsoft Defender for Cloud Apps alerts can indicate associated threat activity if app governance is enabled:

• Unusual addition of credentials to an OAuth app
• Suspicious credential added to dormant app
• Unused app newly accessing APIs
• App with suspicious metadata has Exchange permission
• App with an unusual user agent accessed email data through Exchange Web Services
• App with EWS application permissions accessing numerous emails
• App made anomalous Graph calls to Exchange workload post certificate update or addition of new credentials
• Suspicious user created an OAuth app that accessed mailbox items
• Suspicious OAuth app used for collection activities using Graph API
• Risky user updated an app that accessed Email and performed Email activity through Graph API
• Suspicious OAuth app email activity through Graph API
• Suspicious OAuth app email activity through EWS API

Microsoft Defender Vulnerability Management

Microsoft Defender Vulnerability Management surfaces devices that may be affected by the following vulnerabilities used in this threat:

• CVE-2021-26855
• CVE-2021-26857
• CVE-2021-26858
• CVE-2021-27065

Microsoft Defender External Attack Surface Management

Attack Surface Insights with the following title can indicate vulnerable devices on your network but is not necessarily indicative of exploitation:

• [Potential] CVE-2024-3400 – Palo Alto Networks PAN-OS Command Injection Vulnerability’
• [Potential] CVE-2023-3519 – Citrix NetScaler ADC and Gateway Unauthenticated
• ProxyLogon – Microsoft Exchange Server Vulnerabilities (Hotfix Available)

Note: An Attack Surface Insight marked as [Potential] indicates a service is running but cannot validate whether that service is running a vulnerable version. Customers should check resources to verify that they are up to date as part of their investigation.

Microsoft Security Copilot

Security Copilot customers can use the standalone experience to create their own prompts or run the following pre-built promptbooks to automate incident response or investigation tasks related to this threat:

• Incident investigation
• Microsoft User analysis
• Threat actor profile
• Threat Intelligence 360 report based on MDTI article (see Threat intelligence reports below)
• Vulnerability impact assessment

Note that some promptbooks require access to plugins for Microsoft products such as Microsoft Defender XDR or Microsoft Sentinel.

Threat intelligence reports

Microsoft customers can use the following reports in Microsoft products to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender Threat Intelligence

• Silk Typhoon
• Analyzing attacks taking advantage of the Exchange Server vulnerabilities
• Vulnerability Profile: CVE-2025-0282 – Ivanti Connect Secure, Policy Secure, and ZTA Gateway

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog: https://aka.ms/threatintelblog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn at https://www.linkedin.com/showcase/microsoft-threat-intelligence, and on X (formerly Twitter) at https://x.com/MsftSecIntel.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast: https://thecyberwire.com/podcasts/microsoft-threat-intelligence.

The post Silk Typhoon targeting IT supply chain appeared first on Microsoft Security Blog.

Secure and govern AI apps built with the DeepSeek R1 model on Azure AI Foundry and GitHub 

Develop with trustworthy AI 

Last week, we announced DeepSeek R1’s availability on Azure AI Foundry and GitHub, joining a diverse portfolio of more than 1,800 models.   

Customers today are building production-ready AI applications with Azure AI Foundry, while accounting for their varying security, safety, and privacy requirements. Similar to other models provided in Azure AI Foundry, DeepSeek R1 has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks. Microsoft’s hosting safeguards for AI models are designed to keep customer data within Azure’s secure boundaries. 

With Azure AI Content Safety, built-in content filtering is available by default to help detect and block malicious, harmful, or ungrounded content, with opt-out options for flexibility. Additionally, the safety evaluation system allows customers to efficiently test their applications before deployment. These safeguards help Azure AI Foundry provide a secure, compliant, and responsible environment for enterprises to confidently build and deploy AI solutions. See Azure AI Foundry and GitHub for more details.

Start with Security Posture Management

AI workloads introduce new cyberattack surfaces and vulnerabilities, especially when developers leverage open-source resources. Therefore, it’s critical to start with security posture management, to discover all AI inventories, such as models, orchestrators, grounding data sources, and the direct and indirect risks around these components. When developers build AI workloads with DeepSeek R1 or other AI models, Microsoft Defender for Cloud’s AI security posture management capabilities can help security teams gain visibility into AI workloads, discover AI cyberattack surfaces and vulnerabilities, detect cyberattack paths that can be exploited by bad actors, and get recommendations to proactively strengthen their security posture against cyberthreats.

By mapping out AI workloads and synthesizing security insights such as identity risks, sensitive data, and internet exposure, Defender for Cloud continuously surfaces contextualized security issues and suggests risk-based security recommendations tailored to prioritize critical gaps across your AI workloads. Relevant security recommendations also appear within the Azure AI resource itself in the Azure portal. This provides developers or workload owners with direct access to recommendations and helps them remediate cyberthreats faster. 

Safeguard DeepSeek R1 AI workloads with cyberthreat protection

While having a strong security posture reduces the risk of cyberattacks, the complex and dynamic nature of AI requires active monitoring in runtime as well. No AI model is exempt from malicious activity and can be vulnerable to prompt injection cyberattacks and other cyberthreats. Monitoring the latest models is critical to ensuring your AI applications are protected.

Integrated with Azure AI Foundry, Defender for Cloud continuously monitors your DeepSeek AI applications for unusual and harmful activity, correlates findings, and enriches security alerts with supporting evidence. This provides your security operations center (SOC) analysts with alerts on active cyberthreats such as jailbreak cyberattacks, credential theft, and sensitive data leaks. For example, when a prompt injection cyberattack occurs, Azure AI Content Safety prompt shields can block it in real-time. The alert is then sent to Microsoft Defender for Cloud, where the incident is enriched with Microsoft Threat Intelligence, helping SOC analysts understand user behaviors with visibility into supporting evidence, such as IP address, model deployment details, and suspicious user prompts that triggered the alert. 

Additionally, these alerts integrate with Microsoft Defender XDR, allowing security teams to centralize AI workload alerts into correlated incidents to understand the full scope of a cyberattack, including malicious activities related to their generative AI applications. 

Secure and govern the use of the DeepSeek app

In addition to the DeepSeek R1 model, DeepSeek also provides a consumer app hosted on its local servers, where data collection and cybersecurity practices may not align with your organizational requirements, as is often the case with consumer-focused apps. This underscores the risks organizations face if employees and partners introduce unsanctioned AI apps leading to potential data leaks and policy violations. Microsoft Security provides capabilities to discover the use of third-party AI applications in your organization and provides controls for protecting and governing their use.

Secure and gain visibility into DeepSeek app usage 

Microsoft Defender for Cloud Apps provides ready-to-use risk assessments for more than 850 Generative AI apps, and the list of apps is updated continuously as new ones become popular. This means that you can discover the use of these Generative AI apps in your organization, including the DeepSeek app, assess their security, compliance, and legal risks, and set up controls accordingly. For example, for high-risk AI apps, security teams can tag them as unsanctioned apps and block user’s access to the apps outright.

Comprehensive data security 

In addition, Microsoft Purview Data Security Posture Management (DSPM) for AI provides visibility into data security and compliance risks, such as sensitive data in user prompts and non-compliant usage, and recommends controls to mitigate the risks. For example, the reports in DSPM for AI can offer insights on the type of sensitive data being pasted to Generative AI consumer apps, including the DeepSeek consumer app, so data security teams can create and fine-tune their data security policies to protect that data and prevent data leaks. 

Prevent sensitive data leaks and exfiltration  

The leakage of organizational data is among the top concerns for security leaders regarding AI usage, highlighting the importance for organizations to implement controls that prevent users from sharing sensitive information with external third-party AI applications.

Microsoft Purview Data Loss Prevention (DLP) enables you to prevent users from pasting sensitive data or uploading files containing sensitive content into Generative AI apps from supported browsers. Your DLP policy can also adapt to insider risk levels, applying stronger restrictions to users that are categorized as ‘elevated risk’ and less stringent restrictions for those categorized as ‘low-risk’. For example, elevated-risk users are restricted from pasting sensitive data into AI applications, while low-risk users can continue their productivity uninterrupted. By leveraging these capabilities, you can safeguard your sensitive data from potential risks from using external third-party AI applications. Security admins can then investigate these data security risks and perform insider risk investigations within Purview. These same data security risks are surfaced in Defender XDR for holistic investigations.

This is a quick overview of some of the capabilities to help you secure and govern AI apps that you build on Azure AI Foundry and GitHub, as well as AI apps that users in your organization use. We hope you find this useful!

To learn more and to get started with securing your AI apps, take a look at the additional resources below:  

• AI security posture management in Microsoft Defender for Cloud 
• Threat protection for AI workloads in Microsoft Defender for Cloud
• Get visibility into your DeepSeek use with Defender for Cloud Apps 
• Microsoft Purview data security and compliance protections for generative AI apps 

Learn more with Microsoft Security

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity. 

The post Securing DeepSeek and other AI systems with Microsoft Security appeared first on Microsoft Security Blog.

In our last blog post about Star Blizzard, we discussed how the threat actor targeted dozens of civil society organizations—journalists, think tanks, and non-governmental organizations (NGOs)—between January 2023 and August 2024 by deploying spear-phishing campaigns to exfiltrate sensitive information and interfere in their activities. Since October 3, 2024, Microsoft and the US Department of Justice have seized or taken down more than 180 websites related to that activity. While this coordinated action had a short-term impact on Star Blizzard’s phishing operations, we noted at the time that after this threat actor’s active infrastructure was exposed, they swiftly transitioned to new domains to continue their operations, indicating that the threat actor is highly resilient to operational disruptions.

We assess the threat actor’s shift to compromising WhatsApp accounts is likely in response to the exposure of their TTPs by Microsoft Threat Intelligence and other organizations, including national cybersecurity agencies. While this campaign appears to have wound down at the end of November, we are highlighting the new shift as a sign that the threat actor could be seeking to change its TTPs in order to evade detection.

As part of our continuous monitoring, analysis, and reporting on the threat landscape, we are sharing our information on Star Blizzard’s latest activity to raise awareness of this threat actor’s shift in tradecraft and to educate organizations on how to harden their attack surfaces against this and similar activity. We also directly notify customers who have been targeted or compromised, providing them with the necessary information to help secure their environments.

Targeting WhatsApp account data

Star Blizzard’s new spear-phishing campaign, while novel in that it uses and targets WhatsApp for the first time, exhibits familiar spear-phishing TTPs for Star Blizzard, with the threat actor initiating email contact with their targets, to engage them, before sending them a second message containing a malicious link. The sender address used by the threat actor in this campaign impersonates a US government official, continuing Star Blizzard’s practice of impersonating known political/diplomatic figures, to further ensure target engagement. The initial email sent to targets contains a quick response (QR) code purporting to direct users to join a WhatsApp group on “the latest non-governmental initiatives aimed at supporting Ukraine NGOs.” This code, however, is intentionally broken and will not direct the user towards any valid domain; this is an effort to coax the target recipient into responding.

When the recipient responds, Star Blizzard sends a second email containing a Safe Links-wrapped t[.]ly shortened link as the alternative link to join the WhatsApp group.

When this link is followed, the target is redirected to a webpage asking them to scan a QR code to join the group. However, this QR code is actually used by WhatsApp to connect an account to a linked device and/or the WhatsApp Web portal. This means that if the target follows the instructions on this page, the threat actor can gain access to the messages in their WhatsApp account and have the capability to exfiltrate this data using existing browser plugins, which are designed for exporting WhatsApp messages from an account accessed via WhatsApp Web.

While this campaign was limited and appeared to have terminated at the end of November, it nevertheless marked a break in long-standing Star Blizzard TTPs and highlighted the threat actor’s tenacity in continuing spear-phishing campaigns to gain access to sensitive information even in the face of repeated degradations of their operations.

Microsoft Threat Intelligence recommends that all email users belonging to sectors that Star Blizzard typically targets always remain vigilant when dealing with email, especially emails containing links to external resources. These targets are most commonly related to:

• Government or diplomacy (incumbent and former position holders)
• Research into defense policy or international relations when related to Russia
• Assistance to Ukraine related to the ongoing conflict with Russia

When in doubt, contact the person you think is sending the email using a known and previously used email address to verify that the email was indeed sent by them.

Mitigations

To harden networks against the Star Blizzard activity listed above, defenders can implement the following:

• Implement Microsoft Defender for Endpoint on Android and iOS, which includes anti-phishing capabilities that also apply to QR code phishing attacks, blocking phishing sites from being accessed. 
• Enable network protection in Microsoft Defender for Endpoint
• Ensure that tamper protection is enabled in Microsoft Dender for Endpoint
• Run endpoint detection and response in block mode so that Microsoft Defender for Endpoint can block malicious artifacts, even when your non-Microsoft antivirus does not detect the threat or when Microsoft Defender Antivirus is running in passive mode.
• Configure investigation and remediation in full automated mode to let Microsoft Defender for Endpoint take immediate action on alerts to resolve breaches, significantly reducing alert volume.
• Turn on PUA protection in block mode in Microsoft Defender Antivirus
• Turn on cloud-delivered protection in Microsoft Defender Antivirus or the equivalent for your antivirus product to cover rapidly evolving attacker tools and techniques.
• Turn on Microsoft Defender Antivirus real-time protection.
• Encourage users to use Microsoft Edge and other web browsers that support SmartScreen, which identifies and blocks malicious websites, including phishing sites, scam sites, and sites that host malware.
• Turn on Safe Links and Safe Attachments for Office 365.
• Use the Attack Simulator in Microsoft Defender for Office 365 to run realistic, yet safe, simulated phishing and password attack campaigns. Utilize the QR code payload in attack simulation training scenarios to mirror Star Blizzard’s and other threat actor’s QR code spear-phishing techniques.

Microsoft Defender XDR detections

Microsoft Defender XDR customers can refer to the list of applicable detections below. Microsoft Defender XDR coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Customers with provisioned access can also use Microsoft Security Copilot in Microsoft Defender to investigate and respond to incidents, hunt for threats, and protect their organization with relevant threat intelligence.

Microsoft Defender for Endpoint

The following alerts might indicate threat activity associated with this threat. These alerts, however, can be triggered by unrelated threat activity and are not monitored in the status cards provided with this report.

• Star Blizzard activity group

Hunting queries

Microsoft Defender XDR

Surface events that may have communicated with the Star Blizzard C2s. 

let domainList = dynamic(["civilstructgeo.org", "aerofluidthermo.org"]);
union
(
    DnsEvents
    | where QueryType has_any(domainList) or Name has_any(domainList)
    | project TimeGenerated, Domain = QueryType, SourceTable = "DnsEvents"
),
(
    IdentityQueryEvents
    | where QueryTarget has_any(domainList)
    | project Timestamp, Domain = QueryTarget, SourceTable = "IdentityQueryEvents"
),
(
    DeviceNetworkEvents
    | where RemoteUrl has_any(domainList)
    | project Timestamp, Domain = RemoteUrl, SourceTable = "DeviceNetworkEvents"
),
(
    DeviceNetworkInfo
    | extend DnsAddresses = parse_json(DnsAddresses), ConnectedNetworks = parse_json(ConnectedNetworks)
    | mv-expand DnsAddresses, ConnectedNetworks
    | where DnsAddresses has_any(domainList) or ConnectedNetworks.Name has_any(domainList)
    | project Timestamp, Domain = coalesce(DnsAddresses, ConnectedNetworks.Name), SourceTable = "DeviceNetworkInfo"
),
(
    VMConnection
    | extend RemoteDnsQuestions = parse_json(RemoteDnsQuestions), RemoteDnsCanonicalNames = parse_json(RemoteDnsCanonicalNames)
    | mv-expand RemoteDnsQuestions, RemoteDnsCanonicalNames
    | where RemoteDnsQuestions has_any(domainList) or RemoteDnsCanonicalNames has_any(domainList)
    | project TimeGenerated, Domain = coalesce(RemoteDnsQuestions, RemoteDnsCanonicalNames), SourceTable = "VMConnection"
),
(
    W3CIISLog
    | where csHost has_any(domainList) or csReferer has_any(domainList)
    | project TimeGenerated, Domain = coalesce(csHost, csReferer), SourceTable = "W3CIISLog"
),
(
    EmailUrlInfo
    | where UrlDomain has_any(domainList)
    | project Timestamp, Domain = UrlDomain, SourceTable = "EmailUrlInfo"
),
(
    UrlClickEvents
    | where Url has_any(domainList)
    | project Timestamp, Domain = Url, SourceTable = "UrlClickEvents"
)
| order by TimeGenerated desc

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

While the below queries are not linked to any specific threat actor, they are effective in detecting potential phishing attempts. Implementing these queries can help you stay vigilant and safeguard your organization from phishing attacks

• Delivered Bad Emails from Top bad IPv4 addresses
• Phishing Link Execution Observed
• Successful Signin from Phishing Link
• Suspicious URL Clicked
• Email Delivered to Inbox

Microsoft Security Copilot

Security Copilot customers can use the standalone experience to create their own prompts or run the following pre-built promptbooks to automate incident response or investigation tasks related to this threat:

• Incident investigation
• Microsoft User analysis
• Threat actor profile
• Threat Intelligence 360 report based on MDTI article

Note that some promptbooks require access to plugins for Microsoft products such as Microsoft Defender XDR or Microsoft Sentinel.

Threat intelligence reports

Microsoft customers can use the following reports in Microsoft products to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Defender Threat Intelligence

• Star Blizzard adopting PDF-less approach to spearphishing
• Star Blizzard spearphishing campaign targets US think tanks
• Disrupting Star Blizzard’s ongoing phishing operations

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Indicators of compromise

References

• https://www.cisa.gov/news-events/cybersecurity-advisories/aa23-341a

Learn more

For further information on the threats detailed in this blog post, refer to these additional Microsoft blogs:

• Protecting Democratic Institutions from Cyber Threats
• Star Blizzard increases sophistication and evasion in ongoing attacks
• Disrupting SEABORGIUM’s ongoing phishing operations

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog: https://aka.ms/threatintelblog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn at https://www.linkedin.com/showcase/microsoft-threat-intelligence, and on X (formerly Twitter) at https://twitter.com/MsftSecIntel.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast: https://thecyberwire.com/podcasts/microsoft-threat-intelligence.

The post New Star Blizzard spear-phishing campaign targets WhatsApp accounts appeared first on Microsoft Security Blog.

While there are new vendors launching MDR services regularly, many security teams are turning to Microsoft Defender Experts for XDR, a recognized leader, to deliver comprehensive coverage.¹ Employed worldwide by organizations across industries, Microsoft’s team of dedicated experts proactively hunts for cyberthreats and triages, investigates, and responds to incidents on a customer’s behalf around the clock across their most critical assets. Our proven service brings together in-house security professionals and industry-leading protection with Microsoft Defender XDR to help security teams rapidly stop cyberthreats and keep their environments secure.² 

Frost & Sullivan names Microsoft Defender Experts for XDR a leader in the Frost Radar™ Managed Detection and Response for 2024.¹ 

Microsoft Defender Experts for XDR

Give your security operations center team coverage with end-to-end protection and expertise.

Learn more

Reduce the staffing burden, improve security coverage, and focus on other priorities

Microsoft Defender Experts for XDR improves operational efficacy greatly while elevating an organization’s security posture to a new level. The team of experts will monitor the environment, find and halt cyberthreats, and help contain incidents faster with human-led response and remediation. With Defender Experts for XDR, organizations will expand their threat protection capabilities, reduce the number of incidents over time, and have more resources to focus on other priorities.

More experts on your side

Scaling in-house security teams remains challenging. Security experts are not only scarce but expensive. The persistent gap in open security positions has widened to 25% since 2022, meaning one in four in-house security analyst positions will remain unfilled.³ In the Forrester Consulting New Technology Project Total Economic Impact study, without Defender Experts for XDR, the in-house team size for the composite organization would need to increase by up to 30% in mid-impact scenario or 40% in high-impact scenario in year one to provide the same level of threat detection service.⁴ When you consider the lack of available security talent, increasing an in-house team size by 40% poses significant security concerns to CISOs. Existing security team members won’t be able to perform all the tasks required. Many will be overworked, which may lead to burnout.

With more than 34,000 full-time equivalent security engineers, Microsoft is one of the largest security companies in the world. Microsoft Defender Experts for XDR reinforces your security team with Microsoft security professionals to help reduce talent gap concerns. In addition to the team of experts, customers have additional Microsoft security resources to help with onboarding, recommendations, and strategic insights.

“Microsoft has the assets and people I needed. All the technologies, Microsoft Azure, and a full software stack end-to-end, all combined together with the fabric of security. Microsoft [Defender Experts for XDR] has the people and the ability to hire and train those people with the most upmost skill set to deal with the issues we face.”

—Head of Cybersecurity Response Architecture, financial services industry

Accelerate and expand protection against today’s cyberthreats

Microsoft Defender Experts for XDR deploys quickly. That’s welcome news to organizations concerned about maturing their security program and can’t wait for new staffing and capabilities to be developed in-house. Customers can quickly leverage the deep expertise of the Microsoft Defender Experts for XDR team to tackle the increasing number of sophisticated threats. 

CISOs and security teams know that phishing attacks continue to rise because cybercriminals are finding success. Email remains the most common method for phishing attacks, with 91% of all cyberattacks beginning with a phishing email. Phishing is the primary method for delivering ransomware, accounting for 45% of all ransomware attacks. Financial institutions are most targeted at 27.7% followed by nearly all other industries.⁵

According to internal Microsoft Defender Experts for XDR statistics, roughly 40% of halted threats are phishing.

Microsoft Defender Experts for XDR is a managed extended detection and response service (MXDR). MXDR is an evolution of traditional MDR services, which primarily focuses on endpoints. Our MXDR service has greater protection across endpoints, email and productivity tools, identities, and cloud apps—ensuring the detection and disruption of many cyberthreats, such as phishing, that would not be covered by endpoint-only managed services. That expanded and consolidated coverage enables Microsoft Defender Experts for XDR to find even the most emergent threats. For example, our in-house team identified and disrupted a significant Octo Tempest operation that was working across previously siloed domains. 

The reduction in the likelihood of breaches with Microsoft Defender Experts for XDR is roughly 20% and is worth $261,000 to $522,000 over three years with Defender Experts.⁴

In addition to detecting, triaging, and responding to cyberthreats, Microsoft Defender Experts for XDR publishes insights to keep organizations secure. That includes recent blogs on file hosting services abuse and phishing abuse of remote monitoring and management tools. As well, the MXDR service vetted roughly 45 indicators related to adversary-in-the-middle, password spray, and multifactor authentication fatigue and added them to Spectre to help keep organizations secure.

From September 2024 through November 2024, Microsoft Security published multiple cyberthreat articles covering real-world exploration topics such as Roadtools, AzureHound, Fake Palo Alto GlobalProtect, AsyncRAT via ScreenConnect, Specula C2 Framework, SectopRAT campaign, Selenium Grid for Cryptomining, and Specula.

“The Microsoft MXDR service, Microsoft Defender Experts for XDR, is helping our SOC team around the clock and taking our security posture to the next level. On our second day of using the service, there was an alert we had previously dismissed, but Microsoft continued the investigation and identified a machine in our environment that was open to the internet. It was created by a threat actor using a remote desktop protocol (RDP). Microsoft Defender Experts for XDR’s MXDR investigation and response to remediate the issue was immediately valuable to us.”

—Director of Security Operations, financial services industry

Halt cyberthreats before they do damage

In 2024 the mean time for the average organization to identify a breach was 194 days and containment 64 days.⁶  Organizations must proactively look for cyberattackers across unified cross-domain telemetry versus relying solely on disparate product alerts. Proactive threat hunting is no longer a nice-to-have in an organization’s security practice. It’s a must-have to detect cyberthreats faster before they can do significant harm.

When every minute counts, Microsoft Defender Experts for XDR can help speed up the detection of an intrusion with proactive threat hunting informed by Microsoft’s threat intelligence, which tracks more than 1,500 unique cyberthreat groups and correlates insights from 78 trillion security signals per day.⁷

Microsoft Defender Experts for Hunting proactively looks for threats around the clock across endpoints, email, identity, and cloud apps using Microsoft Defender and other signals. Threat hunting leverages advanced AI and human expertise to probe deeper and rapidly correlate and expose cyberthreats across an organization’s security stack. With visibility across diverse, cross-domain telemetry and threat intelligence, Microsoft Defender Experts for Hunting extends in-house threat hunting capabilities to provide an additional layer of threat detection to improve a SOC’s overall threat response and security efficacy.

In a recent survey, 63% of organizations saw a measurable improvement in their security posture with threat hunting. 49% saw a reduction in network and endpoint attacks along with more accurate threat detection and a reduction of false positives.⁸

Microsoft Defender Experts for Hunting enables organizations to detect and mitigate cyberthreats such as advanced persistent threats or zero-day vulnerabilities. By actively seeking out hidden risks and reducing dwell time, threat hunting minimizes potential damage, enhances incident response, and strengthens overall security posture.

Microsoft Defender Experts for XDR, which includes Microsoft Defender Experts for Hunting, allows customers to stay ahead of sophisticated threat actors, uncover gaps in defenses, and adapt to an ever-evolving cyberthreat landscape.

“Managed threat hunting services detect and address security threats before they become major incidents, reducing potential damage. By implementing this (Defender Experts for Hunting), we enhance our cybersecurity posture by having experts who continuously look for hidden threats, ensuring the safety of our data, reputation, and customer trust.”

—CISO, technology industry

Spend less to get more

Microsoft Defender Experts for XDR helps CISOs do more with their security budgets. According to a 2024 Forrester Total Economic Impact™ study, Microsoft Defender Experts for XDR generated a project return on investment (ROI) of up to 254% with a projected net present value of up to $6.1 million for the profiled composite company.⁴

Microsoft Defender Experts for XDR includes trusted advisors who provide insights on operationalizing Microsoft Defender XDR for optimal security efficacy. This helps reduce the burden on in-house security and IT teams so they can focus on other projects.

Beyond lowering security operations costs, the Forrester study noted Microsoft Defender Experts for XDR efficiency gains for surveyed customers, including a 49% decrease in security-related IT help desk tickets. Other productivity gains included freeing up 42% of available full time employee hours and lowering general IT security-related project hours by 20%.⁴

Learn how Microsoft Defender Experts for XDR can improve organizational security

Microsoft Defender Experts for XDR is Microsoft’s MXDR service. It delivers round-the-clock threat detection, investigation, and response capabilities, along with proactive threat hunting. Designed to help close the security talent gap and enhance organizational security postures, the MXDR service combines Microsoft’s advanced Microsoft Defender XDR capabilities with dedicated security experts to tackle cyberthreats like phishing, ransomware, and zero-day vulnerabilities. Offering rapid deployment, significant ROI (254%, as per Forrester), and operational efficiencies, Microsoft Defender Experts for XDR reduces incident and alerts volume, improves the security posture, and frees up in-house resources. Organizations worldwide benefit from these scalable solutions, leveraging Microsoft’s threat intelligence and security expertise to stay ahead of evolving cyberthreats.

To learn more, please visit Microsoft Defender Experts for XDR or contact your Microsoft security representative.

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

¹Frost & Sullivan names Microsoft a Leader in the Frost Radar™: Managed Detection and Response, 2024, Srikanth Shoroff. March 25, 2024.

²Microsoft a Leader in the Forrester Wave for XDR, Microsoft Security Blog. June 3, 2024.

³ISC2 Cybersecurity Workforce Report, 2024.

⁴Forrester Consulting study commissioned by Microsoft, 2024, New Technology: The Projected Total Economic Impact™ of Microsoft Defender Experts For XDR.

⁵2024 Phishing Facts and Statistics, Identitytheft.org.

⁶Time to identify and contain data breaches global 2024, Statista.

⁷Microsoft Digital Defense Report, 2024.

⁸SANS 2024 Threat Hunting Survey, March 19, 2024.

The post Why security teams rely on Microsoft Defender Experts for XDR for managed detection and response appeared first on Microsoft Security Blog.

Microsoft has embraced Zero Trust principles—both in the way we secure our own enterprise environment and for our customers. We’ve been helping thousands of organizations worldwide transition to a Zero Trust security model, including many United States government agencies. In this blog, we’ll preview the new guidance and share how it helps United States government agencies and their partners implement their Zero Trust strategies. We’ll also share the Microsoft Zero Trust platform and relevant solutions that help meet CISA’s Zero Trust requirements, and close with two examples of real-world deployments.

CISA Zero Trust Maturity Model

Use this guidance to help meet the goals for ZTMM functions and make progress through maturity stages.

Learn more

Microsoft supports CISA’s Zero Trust Maturity Model

CISA’s Zero Trust Maturity Model provides detailed guidance for organizations to evaluate their current security posture and identify necessary changes for transitioning to more modernized federal cybersecurity.

The CISA Zero Trust Maturity Model includes five pillars that represent protection areas for Zero Trust:

1. Identity: An identity refers to an attribute or set of attributes that uniquely describes an agency user or entity, including non-person entities.
2. Devices: A device refers to any asset (including its hardware, software, and firmware) that can connect to a network, including servers, desktop and laptop machines, printers, mobile phones, Internet of Things (IoT) devices, networking equipment, and more.
3. Networks: A network refers to an open communications medium including typical channels such as agency internal networks, wireless networks, and the internet as well as other potential channels such as cellular and application-level channels used to transport messages.
4. Applications and workloads: Applications and workloads include agency systems, computer programs, and services that execute on-premises, on mobile devices, and in cloud environments.
5. Data: Data includes all structured and unstructured files and fragments that reside or have resided in federal systems, devices, networks, applications, databases, infrastructure, and backups (including on-premises and virtual environments) as well as the associated metadata.

The model also integrates capabilities that span across all pillars, to enhance cross-function interoperability—including visibility and analytics, automation and orchestration, and governance. The model further includes the four maturity stages of the Zero Trust Maturity Model:

• Traditional: The starting point for many government organizations, where assessment and identification of gaps helps determine security priorities.
• Initial: Organizations will have begun implementing automation in areas such as attribute assignment, lifecycle management, and initial cross-pillar solutions including integration of external systems, least privilege strategies, and aggregated visibility.
• Advanced: Organizations have progressed further along the maturity journey including centralized identity management and integrated policy enforcement across all pillars. Organizations build towards enterprise-wide visibility including near real time risk and posture assessments.
• Optimal: Organizations have fully automated lifecycle management implementing dynamic just-enough access (JEA) with just-in-time (JIT) controls for access to organization resources. Organizations implement continuous monitoring with centralized visibility. 

Microsoft’s Zero Trust Maturity Model guidance serves as a reference for how government organizations should address key aspects of pillar-specific functions for each pillar, across each stage of implementation maturity, using Microsoft cloud services. Microsoft product teams and security architects supporting government organizations worked in close partnership to provide succinct, actionable guidance that aligns with the CISA Zero Trust Maturity Model and is organized by pillar, function, and maturity stage, with product guidance including linked references.

The guidance focuses on features available now (including public preview) in Microsoft commercial clouds. As cybersecurity threats continue to evolve, Microsoft will continue to innovate to meet the needs of our government customers. We’ve already launched more features aligned to the principles of Zero Trust—including Microsoft Security Exposure Management (MSEM) and more. Look for updates and announcements in the Microsoft Security Blog and check Microsoft Learn for Zero Trust guidance for Government customers to stay up to date with the latest information.

Microsoft’s Zero Trust platform

Microsoft is proud to be recognized as a Leader in the Forrester Wave™: Zero Trust Platform Providers, Q3 2023 report.¹ The Microsoft Zero Trust platform is a modern security architecture that emphasizes proactive, integrated, and automated security measures. Microsoft 365 E5 combines best-in-class productivity apps with advanced security capabilities and innovations for government customers that include certificate-based authentication in the cloud, Conditional Access authentication strength, cross-tenant access settings, FIDO2 provisioning APIs, Azure Virtual Desktop support for passwordless authentication, and device-bound passkeys. Microsoft 365 is a comprehensive and extensible Zero Trust platform that spans hybrid cloud, multicloud, and multiplatform environments, delivering a rapid modernization path for organizations.

Microsoft cloud services that support the five pillars of the CISA Zero Trust Maturity Model include:

Microsoft Entra ID is an integrated multicloud identity and access management solution and identity provider that helps achieve capabilities in the identity pillar. It is tightly integrated with Microsoft 365 and Microsoft Defender XDR services to provide a comprehensive suite of Zero Trust capabilities including strict identity verification, enforcing least privilege, and adaptive risk-based access control. Built for cloud-scale, Microsoft Entra ID handles billions of authentications every day. Establishing it as your organization’s Zero Trust identity provider lets you configure, enforce, and monitor adaptive Zero Trust access policies in a single location. Conditional Access is the Zero Trust authorization engine for Microsoft Entra ID, enabling dynamic, adaptive, fine-grained, risk-based, access policies for any workload.

Microsoft Intune is a multiplatform endpoint and application management suite for Windows, MacOS, Linux, iOS, iPadOS, and Android devices. Its configuration policies manage devices and applications. Microsoft Defender for Endpoint helps organizations prevent, detect, investigate, and respond to advanced cyberthreats on devices. Microsoft Intune and Defender for Endpoint work together to enforce security policies, assess device health, vulnerability exposure, risk level, and configuration compliance status. Microsoft Intune and Microsoft Defender for Endpoint help achieve capabilities in the device pillar.

GitHub is a cloud-based platform where you can store, share, and work together with others to write code. GitHub Advanced Security includes features that help organizations improve and maintain code by providing code scanning, secret scanning, security checks, and dependency review throughout the deployment pipeline. Microsoft Entra Workload ID helps organizations use continuous integration and continuous delivery (CI/CD) with GitHub Actions. GitHub and Azure DevOps are essential to the applications and workloads pillar.

Microsoft Purview aligns to the data pillar activities, with a range of solutions for unified data security, data governance, and risk and compliance management. Microsoft Purview Information Protection lets you define and label sensitive information types. Auto-labeling within Microsoft 365 clients ensures data is appropriately labeled and protected. Microsoft Purview Data Loss Prevention integrates with Microsoft 365 services and apps, and Microsoft Defender XDR components to detect and prevent data loss.

Azure networking services include a range of software-defined network resources that can be used to provide networking capabilities for connectivity, application protection, application delivery, and network monitoring. Azure networking resources like Microsoft Azure Firewall Premium, Azure DDoS Protection, Microsoft Azure Application Gateway, Azure API Management, Azure Virtual Network, and network security groups, all work together to provide routing, segmentation, and visibility into your network. Azure networking services and network segmentation architectures are essential to the network pillar.

Microsoft Defender XDR plays key roles across multiple pillars, critical to both the automation and orchestration and visibility and analytics cross-cutting capabilities. It is a unified pre-breach and post-breach enterprise defense suite that natively coordinates detection, prevention, investigation, and response actions. It correlates millions of signals across endpoints, identities, email, and applications to automatically disrupt cyberattacks. Microsoft Defender XDR’s automated investigation and response and Microsoft Sentinel playbooks are used to complete security orchestration, automation, and response (SOAR) activities.

Microsoft Sentinel is essential to both automation and orchestration and visibility and analytics cross-cutting capabilities, along with any activities requiring SIEM integration. It is a cloud-based security information and event management (SIEM) you deploy in Azure. Microsoft Sentinel operates at cloud scale to accelerate security response and save time by automating common tasks and streamlining investigations with incident insights. Built-in data connectors make it easy to ingest security logs from Microsoft 365, Microsoft Defender XDR, Microsoft Entra ID, Azure, non-Microsoft clouds, and on-premises infrastructure.

Real-world pilots and implementations utilizing Microsoft guidance

The United States Department of Agriculture (USDA) implements multifaceted solution for phishing-resistance initiative—In this customer story, the USDA implements phishing-resistant multifactor authentication (MFA)—which is important aspect of the identity pillar of the CISA Zero Trust Maturity Model. By selecting Microsoft Entra ID, the USDA was able to scale these capabilities to enforce phishing-resistant authentication with Microsoft Entra Conditional Access for their four main enterprise services—Windows desktop logon, Microsoft M365, VPN, single sign-on (SSO). By integrating their centralized WebSSO platform with Microsoft Entra ID and piloting more than 600 internal applications, the USDA incrementally and rapidly deployed the capability to support the applications and services relevant to most users. Read more about their experience making incremental improvements towards stronger phishing resistance with Microsoft Entra ID.

The United States Navy collaborates with Microsoft on CISA Zero Trust implementation—In this customer story, the United States Navy was able to utilize Zero Trust activity-level guidance to meet or exceed the Department of Defense (DoD) Zero Trust requirements with Microsoft Cloud services. And now with Microsoft guidance tailored for the United States government agencies, the aim is to help civilian agencies and their industry partners to do the same—meeting the CISA ZTMM recommendations at each maturity stage with Microsoft Cloud services. Together with Microsoft, the Navy developed an integrated model of security to help meet their ZT implementation goals. Read more about their collaboration with Microsoft.

Access Microsoft guidance for the United States Government customers and their partners. Embrace proactive and proven security with Zero Trust.

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

¹Forrester Wave™: Zero Trust Platform Providers, Q3 2023, Carlos Rivera and Heath Mullins, September 19^th, 2023.

The post New Microsoft guidance for the CISA Zero Trust Maturity Model appeared first on Microsoft Security Blog.

For the sixth year in a row, Microsoft Defender XDR demonstrated industry-leading extended detection and response (XDR) capabilities in the independent MITRE ATT&CK® Evaluations: Enterprise. The cyberattack used during the detection test highlights the importance of a unified XDR platform and showcases Defender XDR as a leading solution for securing your multi-operating system estate, with the following results:

• Achieved industry-leading, cross-platform detection: 100% technique level detections across all attack stages for Linux and macOS threats leveraging our new extended Berkeley Packet Filter (eBPF) Linux sensor and macOS behavioral monitoring engine that delivers rich actionable content.
• Delivered zero false positives, providing powerful security without overwhelming the security operations center (SOC). Defender XDR accurately alerted on and blocked only malicious activity every time so the SOC can focus their limited time and resources on responding to real cyberthreats at hand. Key to this result are critical cross-platform capabilities like remote encryption detection for gaining deeper visibility into the cyberattacker’s machines and behavior monitoring for detecting emerging threats on macOS.
• Equips the SOC with powerful technology like Microsoft Security Copilot, the industry’s first generative AI for security, to thwart attacks with contextual insight and speed with capabilities like script analysis that translates obfuscated PowerShell scripts into intuitive explanations of a script’s role in the cyberattack.
• Deep visibility into remote encryption, providing unprecedented visibility into encryption attempts originating from remote machines that might not even be onboarded to Defender XDR and putting an end to an advanced cyberattack vector being used in over 70% of recent ransomware cases.¹

Microsoft Defender XDR

Supercharge your SecOps effectiveness with XDR.

Learn more

Defender XDR is the industry’s broadest natively integrated XDR platform spanning endpoints, hybrid identities, email, collaboration tools, software as a service (SaaS) apps, and data with centralized visibility, powerful analytics, and automatic attack disruption, a powerful response capability unique to Microsoft. 

 A note on this year’s emulation: It is Microsoft’s opinion that the Protection test does not mirror realistic cyberthreats that organizations face. The Protection test methodology differed significantly from the Detection test that emulated an end-to-end attack scenario reflective of the cyberthreat landscape.  See our statement below. 

Customer reality is core to Microsoft’s testing approach

Microsoft Security’s mission is to build a safer world while enabling all organizations, users, and services to be as productive as possible. On the ground this means equipping security analysts with a holistic, actionable view of the cyberthreat landscape to minimize time to remediate legitimate bad actors.

As we develop our product, we strive to find the right balance between providing industry-leading security while ensuring under-sourced security operations teams are not flooded with false positives. We hold ourselves accountable for delivering on this goal by regularly participating in product evaluations to identify gaps and improve our products. This year, our conclusion from the MITRE protection test is that it was designed to evade protection mechanisms to the extent that it is unrepresentative of an actual cyberattack, a methodology that Microsoft disagrees with.

The core issue is the micro-testing methodology, which is inconsistent with how cyberattackers typically operate, moving laterally within organizations by gaining access to identities and privileges over time. These broader signals are critical for distinguishing between benign and malicious activities so we can balance protecting organizations from cyberattacks while supporting the broadest set of benign use cases across a massive customer base worldwide.

For example, MITRE used “micro emulations” starting with a highly privileged user and applications signed by a trusted certificate  to conduct cyberattack steps in isolation without adequate context. Signed apps executed by privileged users is a benign scenario we see on thousands of Windows machines a day. Using a trusted certificate isn’t suspicious unless the associated user was compromised—context that the MITRE test lacked. Nor were there signals provided to enable us to determine that the certificate in the trusted root authority had been compromised or was seen to be signing malicious applications.

Microsoft will not implement the test’s recommendations as they do not reflect cyberattack patterns on customer environments. Doing so would cause outages for legitimate customer scenarios.

We appreciate the ongoing collaborative dialogue with MITRE on the topic of testing methodology and look forward to our continued partnership into the future.

How Microsoft fended off adversaries in the Detection test

In previous evaluations, MITRE scoped emulated behaviors to a specific cyberthreat actor group, like Secret Blizzard. This year, MITRE has added ransomware as an attack category informing a range of malicious behaviors carried out against Windows and Linux. For the macOS portion of the emulation, MITRE applied adversarial behaviors inspired by cyberthreat actors that the Democratic People’s Republic of North Korea (DPRK) sponsors. Microsoft Threat Intelligence tracks these groups at a granular level, for example, Sapphire Sleet, Ruby Sleet, Moonstone Sleet, and others that commonly escalate privileges and target user credentials on macOS.

Let’s take a closer look at how Microsoft Defender XDR once again achieved industry-leading results in this year’s MITRE evaluation and how Microsoft is shaping the future of security to respond to the most prevalent cyberthreats like ransomware.

A leader in detection for every cyberattack stage: 100% technique level detections for Linux and macOS cyberthreats

Organizations often have diverse digital estates spanning multiple operating systems, which is why Microsoft invests heavily in ensuring detection for all major operating systems is both accurate and actionable. Microsoft’s industry-leading cross-platform results are driven by a combination of continuous investments, such as:

1. Extending our generative AI solution, Security Copilot, beyond Windows.

Security Copilot is the only security AI product that combines a specialized language model with security-specific capabilities from Microsoft. These capabilities incorporate a growing set of security-specific skills informed by our unique global threat intelligence and more than 78 trillion daily signals. Summarizing incidents, guiding response actions, using natural language for advanced threat hunting, and analyzing obfuscated PowerShell scripts are just some of the ways Security Copilot helps analysts accelerate workflows and gain new skills. In this evaluation, script analysis played a key role for macOS where we see human-readable explanations alongside the code as well as MITRE Tactics, Techniques, and Procedures (TTPs). This way analysts can quickly understand how the adversary is using the file or script.

2. Delivering enhanced behavioral monitoring capabilities to detect emerging cyberthreats even earlier on macOS.

Effective security is about the quality and actionability of detections, not just the quantity. These principles guide how we’ve built industry-leading security across Windows, Linux, and macOS. Let’s look at step Mac 4.08 Credentials from Password Stores: Keychain by a suspicious file as an example. Keychain-related file access happens often on macOS, even when a machine is idle. On average, these files may be accessed well over 400 times per hour. This level of activity is normal for many popular applications, such as OneDrive, Adobe Creative Cloud, and the built-in macOS apps. However, sorting out normal versus suspicious access poses a significant challenge for many vendors. We gain this deeper analysis through a combination of advanced behavior monitoring and content scanning, along with Microsoft’s exclusive threat intelligence. This approach helps pinpoint genuinely suspicious access, like those from us.zoom.ZoomHelperTool, providing analysts with the precise data they need to respond effectively.

Zero false positives across Linux, macOS, and Windows

When benign activities are flagged as malicious, security analysts end up wasting time and resources investigating. At a scale of potentially hundreds to thousands of alerts a day, false positives quickly lead to team burnout and eroded trust in security measures. This year, MITRE introduced a false positive metric by weaving in innocuous actions like legitimate file-sharing in the cyberattack steps to see if evaluated solutions would generate unnecessary alerts. Microsoft employs machine learning-based detections, only alerting on anomalous activity that seems to originate from malicious intent. This approach is how we deliver powerful security without overwhelming the SOC.

Microsoft’s dedication to protection with minimal false positives is evident in regularly occurring, public antivirus assessments conducted by endpoint testing authorities like AV-Comparatives, AV-Test, and SE Labs.

Deep visibility into remote encryption attempts 

Since 2022, Microsoft has observed a spike in cyberattackers using remote encryption, where a cyberattacker uses a compromised device to encrypt other devices in a given network. As the latest Microsoft Digital Defense Report points out, 70% percent of successful human-operated ransomware cyberattacks have applied this technique. Gaining insight into a cyberattacker’s machine is typically a blind spot for many antivirus and endpoint detection and response solutions. Defender XDR, however, provides analysts with this critical visibility so that even if an unmanaged device is compromised, it can protect your hybrid organization from advanced cyberattacks like ransomware.

Empowering defenders with the security they need

As the cyberthreat landscape rapidly evolves, Microsoft is committed to empowering defenders with industry-leading, cross-platform XDR. Our evaluation philosophy is to reflect the real world by configuring the product as customers would in line with industry best practices. In the MITRE Evaluations, as with all simulations, Microsoft Defender XDR achieved industry-leading results without manual processing or fine-tuning and can be run in customer environments without generating an untenable number of false positives. Microsoft’s commitment to delivering cybersecurity while minimizing false positives is reflected in regularly occurring public evaluations.   

We thank MITRE Engenuity for the opportunity to contribute to and participate in this year’s evaluation. 

Learn more

To learn more about Microsoft Security solutions, visit our website. Bookmark the Security blog to keep up with our expert coverage on security matters. Also, follow us on LinkedIn (Microsoft Security) and X (@MSFTSecurity) for the latest news and updates on cybersecurity.

¹Microsoft Digital Defense Report 2024

The post Microsoft Defender XDR demonstrates 100% detection coverage across all cyberattack stages in the 2024 MITRE ATT&CK® Evaluations: Enterprise​​ appeared first on Microsoft Security Blog.