Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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Detects the NeedyMantis main-component handshake: an HTTP GET to port 443 with a User-Agent that is EXACTLY the hard-coded literal 'firefox/21.0' (anchored start+end) and an explicit 'Upgrade: websocket' header, marking the HTTPS-to-WebSocket protocol switch used before the RC4 key exchange. Restricting to port 443 and requiring an exact (not substring) UA match removes generic WebSocket apps and any traffic where 'firefox/21.0' merely appears inside a real, longer browser UA string.
Detects NeedyMantis-style DLL sideloading: a DLL is dropped at an anomalous ProgramData/ProgramFiles path mirroring known first-stage loader naming/path conventions (masquerading as Poedit, curl, Vim, TightVNC, Office, Broadcom, Intel, or NVIDIA components), AND that exact same DLL is subsequently loaded by a process within 10 minutes. Requiring the corroborating load event (rather than file presence alone) filters out benign drops such as installer staging, AV quarantine copies, or backup/sync tools that never execute the file.
Detects NeedyMantis-style DLL sideloading: a DLL is dropped at an anomalous ProgramData/ProgramFiles path mirroring known first-stage loader naming/path conventions (masquerading as Poedit, curl, Vim, TightVNC, Office, Broadcom, Intel, or NVIDIA components), AND that exact same DLL is subsequently loaded by a process within 10 minutes. Requiring the corroborating load event (rather than file presence alone) filters out benign drops such as installer staging, AV quarantine copies, or backup/sync tools that never execute the file.
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
This rule detects instances where a Node.js process spawns a child Node.js process from a 'node_modules' directory using configuration flags typically associated with hidden, detached background tasks (e.g., 'detached', 'stdio', 'windowsHide', 'ignore'). It explicitly excludes common Node.js process managers and build tools to reduce false positives associated with legitimate development activities.
Detects the modification of AI agent configuration files (e.g., mcp.json, config.json) followed shortly by the agent spawning a child process that matches typical Model Context Protocol (MCP) server execution patterns. This behavior may indicate an attacker has modified the configuration to inject malicious server commands or tools that the AI agent will execute upon next initialization, effectively achieving persistent code execution via the agent's legitimate functionality.
Detects the modification of AI agent configuration files (e.g., mcp.json, config.json) followed shortly by the agent spawning a child process that matches typical Model Context Protocol (MCP) server execution patterns. This behavior may indicate an attacker has modified the configuration to inject malicious server commands or tools that the AI agent will execute upon next initialization, effectively achieving persistent code execution via the agent's legitimate functionality.
Detects the modification of AI agent configuration files (e.g., mcp.json, config.json) followed shortly by the agent spawning a child process that matches typical Model Context Protocol (MCP) server execution patterns. This behavior may indicate an attacker has modified the configuration to inject malicious server commands or tools that the AI agent will execute upon next initialization, effectively achieving persistent code execution via the agent's legitimate functionality.
Detects AI agent tooling (e.g., LangChain, Copilot, Claude Code) performing read operations on databases containing sensitive data patterns, or performing suspicious bulk data enumeration. The rule monitors Azure SQL Database security audit events for suspicious application name signatures and non-schema introspective queries.
Detects instances where AI developer tools or IDE assistants (e.g., Claude, Copilot, Cursor) execute data collection commands (such as directory traversal or archiving) followed by or concurrent with the bulk access of sensitive files (credentials, configuration files) or personal user data.
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