Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,519 views
11,679 detections
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MITRE Techniques
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IDS Classtypes
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114
93
47
10
Detects video and audio conferencing clients (e.g., Zoom, Microsoft Teams, Webex) loading either unsigned DLLs or DLLs commonly associated with virtual camera and audio injection tools (e.g., OBS VirtualCam, Snap Camera). This behavior is characteristic of deepfake injection techniques used to manipulate video conference participants.
Detects instances where a Python-based machine learning framework (identifiable by command-line arguments related to model loading like pickle or PyTorch loading functions) spawns a suspicious child process, such as a shell or network utility. This behavior indicates a potential malicious machine learning model, such as a booby-trapped pickle file, executing arbitrary code upon deserialization.
Detects the creation of browser extension files (manifest.json, .crx, .xpi) within the default user profile directories for Google Chrome, Microsoft Edge, and Mozilla Firefox. This behavior is indicative of potential unauthorized browser extension installation, which can be used for persistence or data exfiltration.
Detects web reconnaissance activity characterized by the use of User-Agent strings associated with automated AI agent frameworks and headless browser libraries (e.g., LangChain, AutoGPT, Playwright, Selenium, python-requests). These tools are frequently utilized in autonomous exploitation scenarios to scan multiple URI paths on a web server in a short timeframe.
Detects outbound network traffic (TLS SNI and HTTP requests) directed to the Telegram Bot API endpoint. This behavior is often associated with malware using Telegram as a command-and-control (C2) channel or for the exfiltration of stolen data, credentials, or sensitive information.
This rule detects potential phishing emails themed around financial documents or shared files that contain URLs associated with device-code authorization phishing lures, such as ARToken PhaaS, or links hosted on workers.dev platforms commonly used for such activities.
Detects potential theft and reuse of session or refresh tokens for Microsoft 365 services (Exchange/SharePoint) by identifying multiple authentication events for the same user account from different geographic locations and IP addresses within a short timeframe, specifically when no new MFA challenge was performed.
Detects HTTP requests containing potential session, handoff, or access tokens within the URI pattern commonly associated with ORAX Adversary-in-the-Middle (AiTM) phishing infrastructure. The rule specifically targets requests routed to wildcard subdomains that mimic legitimate deployment or service endpoints, indicating an attempt to harvest authentication tokens from victims.
Detects potential abuse of the Microsoft Graph API by correlating device-code authentication events with subsequent high-volume activity, such as mail or file enumeration, from the same account within a short window. This pattern is indicative of ARToken-style token proxying, where an attacker intercepts an OAuth device-code token to gain unauthorized access to an user's resources.
Detects network activity associated with a phishing campaign leveraging Cloudflare Workers, identified as 'ARToken'. The rules monitor for specific TLS SNI patterns, HTTP Host headers, and subsequent C2-like behavior involving device code authentication flows (api/device/start and api/device/poll) hosted on 'workers.dev'.
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