Ibrahim Saud
@tektrixIndiaCompletionist
2 followers18,458 downloads7,120 copies47 likes38,588 views
11,679 detections
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Detects malicious activity associated with npm supply chain compromise, including execution of known malicious npm lifecycle scripts, DNS queries to suspected C2 domains, and unauthorized access to sensitive developer credential files (such as .npmrc, .aws/credentials, and SSH keys) by Node.js processes.
Detects Node.js or npm processes that access multiple SSH-related files within a short timeframe while also establishing external network connections, which is consistent with credential exfiltration patterns.
This rule detects non-standard processes (not identified as common web browsers) accessing browser extension configuration files associated with cryptocurrency wallets (MetaMask or Coinbase Wallet). The rule triggers when a process performs file I/O on multiple distinct extension configuration paths, and the initiating process is associated with build-time or package management tools like Node.js, npm, or Git, which may indicate malicious activity related to supply chain attacks or credential theft from browser storage.
This rule detects potentially malicious activity related to Node.js environments. It monitors for the execution of Node.js or NPM commands involving specific sensitive files ('sync-peer.cjs', 'peer-math.js') or suspicious packing destinations, as well as the creation of 'index.js' or 'package.json' files within a 'node_modules' directory, which can indicate software supply chain manipulation or malicious dependency installation.
This rule detects when a Node.js or NPM process accesses multiple sensitive browser credential files (Login Data or Cookies) within a short window, while simultaneously reading shell history files (bash_history, zsh_history, or fish_history). This behavior is characteristic of an automated credential harvester or infostealer script executing within a Node.js environment.
Detects the execution of Python interpreters or scripts involving keylogging-related libraries (pynput, pyxhook, pywin32, keyboard) or direct access to Linux input devices (/dev/input/event*), correlated with the creation of temporary script files, which is a common pattern for Python-based keyloggers.
Detects suspicious kernel-level activity following a potential privilege escalation event on Linux systems. The rule monitors for unauthorized kernel module loading (via non-standard paths) or direct write access to /dev/kmem, which is indicative of rootkit installation or kernel-level memory manipulation.
Detects execution patterns associated with fileless techniques on Linux systems, specifically looking for the usage of the memfd_create system call or referencing /proc/self/fd/ to execute code directly from memory. These methods are frequently used by adversaries to load and run malicious payloads without writing files to disk, bypassing traditional file-based antivirus scanners.
Detects instances of the 'systemd-userdbd' process that are either spawned from an unexpected parent process or exhibit path-based anomalies (such as running from 'node' or 'node_modules' directories), which may indicate masquerading or malicious activity.
Detects Node.js processes accessing paths associated with cryptocurrency wallets and browser extension storage (MetaMask, Phantom, Exodus, Electrum). This behavior is characteristic of infostealer malware attempting to exfiltrate seed phrases, keys, or wallet configuration data.
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