Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where common IDE-related processes (like VS Code, Amazon Q, or Node) spawn a shell to execute AWS CLI commands specifically focused on identifying the current caller identity using 'aws sts get-caller-identity' and 'curl'. This pattern often indicates attempts to verify compromised AWS credentials or discover account details from an environment.
Detects the execution of common command interpreters (node, python, shell) or processes with 'mcp' in the command line that reference sensitive cloud-related environment variables or identity-related commands, such as AWS access keys, session tokens, or SSH authentication sockets. This indicates potential credential theft or unauthorized cloud resource access.
Detects instances where the Amazon Q Developer extension spawns suspicious child processes, such as bash or npx, which may indicate the execution of arbitrary commands defined in a potentially malicious .amazonq/mcp.json workspace configuration file.
Detects the node.exe process attempting to read shell history files (.bash_history, .zsh_history, etc.), which are common targets for credential harvesting by malicious npm packages. This behavior is associated with the Polymarket Trap campaign involving Miasma and MYRA infostealers.
Detects node.exe processes attempting to access sensitive browser credential databases, such as cookies, login data, or key databases. This pattern is indicative of infostealer malware, specifically those associated with the Polymarket Trap supply-chain campaign, which abuse node.js processes to exfiltrate browser data.
Detects node.js executing known malicious npm lifecycle scripts (such as install-check.cjs, verify-peer.cjs, sync-peer.cjs, postinstall-run.js, and preinstall.js) often found in node_modules folders. These scripts are associated with the Polymarket Trap supply chain campaign, which leverages malicious npm hooks for initial access or malicious activity within a development environment.
Detects the execution of Node.js or npm processes that reference known malicious transitive npm dependencies or typosquatted packages identified in the Polymarket Trap supply chain campaign, such as 'log-taker' and various 'thirdweb' typosquats.
Detects a single process reading both SSH private keys and various developer-sensitive configuration or credential files (e.g., .aws/credentials, .npmrc, .pypirc) on a single host. This behavior is consistent with infostealer activity, such as the Miasma JavaScript infostealer used in supply chain campaigns, aiming to harvest credentials from developer workstations.
Detects the Polymarket Trap / Miasma JavaScript-based infostealer attempting to access sensitive configuration files and credentials (SSH keys, AWS credentials, .npmrc, .pypirc, Docker config, and GPG keys) from a developer's workstation using node.js-related runtimes.
This rule detects the Miasma infostealer activity by monitoring for Node.js processes directly reading sensitive browser credential and cookie databases (e.g., 'Login Data', 'Cookies', 'logins.json') associated with Chrome, Brave, Chromium, and Firefox. The detection targets the behavior where malicious scripts use tools like sql.js to parse and harvest these local files for exfiltration.
Detects the execution of Node.js scripts associated with the Polymarket Trap / Trum3it npm supply chain campaign. This rule monitors process launch events for Node.js command lines that include suspicious lifecycle hook scripts (e.g., install-check.cjs, postinstall-run.js) often used by malicious packages to achieve initial code execution on developer machines.
Detects the execution of a malicious npm package ('@withgoogle/stitch-sdk') which uses scope-squatting to impersonate a legitimate library. The rule flags the execution of preinstall scripts that involve references to the malicious exfiltration domain 'stitch-production.org' or the identified maintainer 'maximus-mcmillan', indicating unauthorized credential harvesting.
Detects instances where a Node.js process accesses sensitive shell history files (e.g., .bash_history, .zsh_history) or the PowerShell PSReadLine history file (ConsoleHost_history.txt). Such activity may indicate an attempt by a malicious script or attacker to harvest credentials or commands stored in shell history.
Detects node.exe or node process accessing sensitive SSH private key files or configuration files. This behavior is indicative of unauthorized credential harvesting by malicious npm packages or infostealer malware like Miasma/MYRA attempting to exfiltrate developer secrets.
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 a high volume of file creation events (100 or more within an hour) occurring in common development-related directories such as 'node_modules', 'packages', or 'vendor'. This activity can be indicative of legitimate software development processes like dependency installation or project builds. However, it can also signal malicious activity, particularly if observed on systems not typically used for development, or as part of a supply chain compromise where malicious dependencies are being introduced or built.
This rule detects processes making a high volume of successful network connections (3 or more within an hour) to domains containing 'codeartifact' or 'artifactory'. This behavior could indicate an attempt to download tools, libraries, or other artifacts, potentially as part of an ingress tool transfer or supply chain attack.
This rule detects the creation of 'requirements.txt' or 'pom.xml' files on a system. These files are commonly used in software development projects (Python and Java/Maven, respectively) to manage dependencies and project configurations. Monitoring their creation can help identify legitimate development activities, but also potential malicious actions such as supply chain compromise where an adversary might introduce or modify project dependencies.
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.
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