Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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Detects modifications or creation of GitHub Actions workflow files containing references to Model Context Protocol (MCP) extensions or AI-related build tools. This monitors for indicators of potential software supply chain tampering, where an adversary injects unauthorized CI/CD pipeline steps for malicious execution.
Detects HTTP responses containing JavaScript-based anti-bot challenge pages consistent with the GhostCode toolkit, and subsequent HTTP requests containing tracking tokens used for victim verification after passing the challenge.
Detects the creation of a scheduled task containing the string 'Google Chrome Update' in the command line, where the task is not the legitimate 'GoogleUpdateTaskMachine' task. The rule specifically targets tasks that execute PowerShell or arbitrary executables, which is a common persistence technique used by adversaries to mask malicious tasks as legitimate software updates.
Detects suspicious PE files that masquerade as Mozilla Firefox by using Firefox-related product names and metadata, but lack valid Mozilla Corporation code-signing signatures and are located within the ProgramData directory.
Detects the execution of PowerShell commands initiated from a .lnk file that query system information related to virtualization technologies (e.g., VMware, VirtualBox, Hyper-V) or hardware details (e.g., BIOS, VideoController). This pattern is often used for environmental awareness or anti-sandbox/anti-analysis techniques by malware.
Detects network requests to the Microsoft authentication service specifically targeting the /common/oauth2/deviceauth endpoint, which is used in the OAuth 2.0 Device Authorization Grant flow. While legitimate for device authentication (e.g., CLI tools, smart devices), this flow can be abused by adversaries for phishing attacks to bypass traditional credential-based MFA, allowing them to gain persistent access to a user account once the target authorizes the code.
This rule detects non-browser processes attempting to access sensitive web browser credential files, such as 'Login Data', 'logins.json', and 'key4.db'. Such activity is highly characteristic of credential-stealing malware (including BabylonRAT) attempting to exfiltrate stored passwords or session data from Google Chrome or Mozilla Firefox profiles.
Detects suspicious Microsoft Intune device enrollment activities characterized by the use of a spoofed User-Agent (matching Microsoft Office/Outlook strings) and rapid, multiple enrollment attempts within a short timeframe. This behavior is associated with adversary use of device-code phishing kits to enroll rogue devices using stolen session tokens.
Detects the execution of PowerShell with common obfuscation or stealth-related flags (e.g., -enc, -nop, -w hidden) when initiated by CMD or from a LNK file, particularly when originating from Windows Explorer. This is a common pattern for malicious file execution and dropper activity.
Detects rapid succession of a successful device code authentication followed by the acquisition of a Primary Refresh Token (PRT) within 80 seconds for the same user. This pattern is indicative of device code phishing (or 'quishing'), where an adversary tricks a user into entering an authorization code into a malicious application to steal their session.
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