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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,594 views

11,679 detections

This rule detects potentially malicious child processes spawned by Amazon Q or AWS Language Server components (e.g., amazon-q, aws-lsp-server). The rule specifically flags behavior associated with the loading of MCP server configurations, potential unauthorized access to AWS credentials, or network data exfiltration attempts through commonly abused binaries like shell interpreters, python, or curl/wget when these are not signed by Amazon.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the presence or activity of a known malicious Chromium-based browser extension (Perplexity AI imposter, ID: flkebkiofojicogddingbdmcmkpbplcd) through monitoring file system changes in browser directories, registry modifications, or network communication with identified command-and-control infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects exploitation attempts targeting CVE-2026-0300 in Palo Alto Networks PAN-OS. It identifies suspicious network connections to User-ID Authentication Portal ports (6081, 6082) from external IP addresses, excluding RFC1918 and loopback ranges. Additionally, it looks for a specific anomalous User-Agent string associated with the CL-STA-1132 threat actor, which has been observed during exploitation of this vulnerability.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
2012
Detects potentially malicious child process creation or unauthorized outbound network connections initiated by AI-assisted coding tools (e.g., Claude, Cursor, Windsurf) through their integrated Node.js or Python environments. This rule identifies common post-exploitation behaviors such as shell execution, command-line reconnaissance, and connections to external non-internal IP addresses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects suspicious network traffic potentially associated with BeePRAT malware, identified by specific process image paths in temporary or TCC-related directories, connections to known malicious C2 IP addresses/ports, or non-standard TCP communication patterns involving suspicious domain queries.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects exploitation attempts against Flowise by leveraging a case-sensitivity bypass in environment variable parsing. Attackers inject variants like 'node_options' into the environment, which bypasses security denylists, allowing the 'NODE_OPTIONS' variable to be set. This enables remote code execution (RCE) via the '--require' flag in child Node.js processes, alongside subsequent activities like marker file creation, registry-based persistence, or unauthorized outbound network connections from the Flowise service.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects the activation of BeepRAT's offline keylogger component. The rule identifies the execution of loader components or associated processes (such as Tiny C Compiler, LuaJIT, or custom named binaries) that facilitate the installation of a low-level keyboard hook (WH_KEYBOARD_LL) to intercept user input, which is then stored locally for later exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
202
Detects the execution of tcc.exe with specific command-line arguments '-nostdlib', '-run', and a reference to a 'config.ini.c' file. This pattern is indicative of the execution of potentially malicious scripts or payloads, often seen in the context of TCC (Take Command Console) or similar utilities being used to compile or run code after delivery.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects outbound network connections to a specific typosquatted domain 'perplexity-ai.online'. This domain is associated with a malicious browser extension designed to intercept and exfiltrate search queries before forwarding them to legitimate search providers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the creation or modification of an mcp.json file within IDE configuration directories (.vscode, .amazonq), followed shortly by the execution of shell or interpreter processes (bash, sh, cmd, powershell, npx) by the IDE process. This behavior suggests the installation of a malicious Model Context Protocol (MCP) server configuration that could facilitate command execution or persistence within the developer environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
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