Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
587 detections
Filters
Last updated
All Time
Detection languages
194
76
64
61
61
Contributors
280
82
38
38
34
Categories
362
259
186
92
78
Platforms
489
459
342
11
5
Products / Services
10,680
9,761
6,694
4,418
3,744
587
MITRE Techniques
322
193
158
144
93
CVEs
7
4
3
3
2
IDS Classtypes
4
IDS Protocols
4
Detects instances where a Node.js process accesses or interacts with common web browser credential files, such as 'Login Data', 'Cookies', or 'key4.db'. This behavior is characteristic of credential-stealing malware or unauthorized collection scripts targeting browser-stored data.
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
Detects Node.js processes (node, npm, npx) accessing or modifying '.npmrc.bak' or '.npmrc' files located within 'node_modules' directories. This activity is indicative of credential theft, specifically targeting potentially active npm authentication tokens that might have been inadvertently backed up or exposed within project directories.
This rule detects when a node.exe process, commonly used for executing npm lifecycle hooks (such as preinstall, postinstall, or various .cjs scripts), spawns suspicious child processes including shells (cmd.exe, powershell.exe, sh, bash) or scripting engines (wscript.exe, cscript.exe). This pattern is frequently observed in malicious npm packages designed to achieve code execution on a developer's machine during the package installation or build process.
Detects Node.js processes accessing sensitive configuration files such as .npmrc (npm authentication tokens) or .docker/config.json (docker registry credentials). This rule filters for activity within npm lifecycle script contexts (e.g., preinstall, postinstall hooks), which is a common technique used in software supply chain attacks to exfiltrate credentials.
Detects Node.js processes (node, npm) attempting to access sensitive files typically associated with web browser extensions, cryptocurrency wallets, or stored secrets. This activity is indicative of credential theft or data exfiltration attempts.
Detects instances where a node.exe process, operating in an npm install or lifecycle hook context, executes a child process (such as cmd, powershell, or bash) that matches known suspicious patterns or actor-defined malicious filenames, indicative of potential supply chain compromise via malicious npm packages.
Detects node.js processes accessing sensitive configuration files, SSH keys, browser login databases, and other credential stores. This activity is indicative of malicious transitive dependencies within the npm ecosystem attempting to exfiltrate credentials during module initialization, even when top-level install scripts are restricted.
Detects instances where npm or node.exe spawn shell interpreters (cmd.exe, powershell.exe, bash, sh) with suspicious command-line arguments indicative of malicious activity, such as credential harvesting or unauthorized script execution within package lifecycle hooks (postinstall, preinstall). This is associated with supply chain attacks like the Miasma infostealer and MYRA RAT.
Detects instances where Node.js, npm, or npx processes attempt to access sensitive configuration files including AWS credentials, Claude API keys, or .env files, which is a common behavior of the Miasma infostealer used in supply chain compromise campaigns to harvest cloud and AI secrets.
Detects unauthorized access to SSH private key files by processes spawned directly or indirectly from npm lifecycle hooks (e.g., postinstall, preinstall). This behavioral pattern is associated with supply chain attacks such as the Miasma infostealer, where malicious dependencies attempt to exfiltrate credentials during the installation phase.
Detects persistence mechanisms used by the MYRA Linux RAT, specifically targeting the modification of /etc/ld.so.preload, the deployment of a malicious library (.libcache.so) to /usr/local/lib/, and suspicious shared object file creation in temporary directories (/tmp or /dev/shm) initiated by Node.js or npm processes. This behavior was observed in the Polymarket Trap npm supply chain campaign.
Detects node.js processes spawned from npm postinstall hooks accessing developer credential files including .gitconfig, .npmrc, and GitHub CLI token files, consistent with the Operation Friday Harvest infostealer campaign targeting Claude Code, GitHub CLI, and npm tokens via malicious npm packages.
Detects attempts to access SSH private keys (id_rsa, id_ed25519) or public keys (.pub files) by 'node' or 'python' processes. This activity could indicate an attacker attempting to collect SSH credentials for lateral movement or persistence.
Detects the execution of Node.js processes initiated by or related to the Flowise low-code AI platform, specifically where the --require flag is used. This pattern may indicate the loading of arbitrary JavaScript code or modules into the Node.js runtime, which could be indicative of malicious code injection or exploit activity within the Flowise environment.
Detects Node.js processes executing with suspicious command-line arguments that include specific file extensions (.woff, .woff2, .svg, .jpeg, .png, .dict) or known suspicious file names associated with potential malicious activity or obfuscation.
Detects instances where Node.js or Code.exe (e.g., VS Code integrated terminals) spawns child processes executing suspicious JavaScript files or command-line arguments indicative of web-based exploitation or lateral movement, such as 'jsonwebauth', 'lserver.js', or 'errorHandler.js'.
Detects behavior indicative of the InvisibleFerret information stealer, specifically focusing on Python execution spawned by development tools (VS Code/Node.js), unauthorized access to browser-based credential stores or local crypto wallets, and suspicious outbound network activity originating from Python processes spawned by development/automation tools.
Detects instances where common script interpreters (node.exe, python.exe, etc.) simultaneously access sensitive local credential files and establish outbound network connections to common web ports (80, 443, 8080, etc.), which is indicative of credential exfiltration behavior.
This rule monitors for suspicious activity associated with Flowise Model Context Protocol (MCP) implementations, specifically detecting environment variable bypasses using Node.js --require, potential Server-Side Request Forgery (SSRF) attempts targeting internal infrastructure and cloud metadata services, and the creation of known proof-of-concept (PoC) artifacts.
This rule detects a scenario where an AI agent (Python or Node.js based) reads a corporate document (PDF, DOCX, TXT, MD) and subsequently spawns a command shell (cmd.exe, powershell.exe, sh, bash) within a 30-second window. This behavior indicates a potential indirect Remote Code Execution (RCE) where a prompt-injected payload from a poisoned document was executed by the AI agent.
Page 22 of 28