Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

956 detections

This rule detects web browser processes (Chrome, Edge, Brave, Electron) making network requests to 'raw.githubusercontent.com' that contain keywords indicative of sensitive data, such as 'credential', 'secret', 'password', 'token', 'api_key', or '.env'. This behavior may indicate an adversary attempting to download configuration files or sensitive credentials hosted on GitHub.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
This rule detects web browser processes (Chrome, Edge, Brave, Electron) making network requests to 'raw.githubusercontent.com' that contain keywords indicative of sensitive data, such as 'credential', 'secret', 'password', 'token', 'api_key', or '.env'. This behavior may indicate an adversary attempting to download configuration files or sensitive credentials hosted on GitHub.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects read access to cryptocurrency wallet files and application directories (including Electrum, Exodus, Atomic, and generic wallet.dat files) by non-wallet associated processes. This behavior is consistent with credential harvesting activities by info-stealing malware such as StealC.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects unauthorized file access to browser extension directories and credential stores (History, Login Data) by a suspicious Node.js process named 'protocal.cjs'. This activity is characteristic of the 'easy-day-js' supply chain compromise, where a malicious backdoor attempts to exfiltrate browser-stored credentials and history from Chrome, Edge, and Brave browsers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
Detects file operations (creation, modification, deletion, renaming) involving common SSH key files (id_rsa, id_ed25519) or files located within .ssh directories, initiated by processes typically associated with AI/LLM tools (chatgpt, perplexity, etc.) or generic process names. This may indicate an attempt to exfiltrate or manipulate authentication credentials by unauthorized applications.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects unauthorized processes attempting to read sensitive application data directories (specifically for Telegram and Discord) on macOS. This behavior is indicative of infostealer malware, such as AMOS (Atomic macOS Stealer), attempting to exfiltrate session tokens and account information.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
303
Detects the use of the 'ditto' command with specific arguments indicating data staging or collection activities, particularly when archiving to a temporary location like '/tmp/osalogging.zip'. This could be indicative of an adversary collecting data from the local system before exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects suspicious activity involving Node.js or Bun runtimes, specifically focusing on the access of sensitive configuration files (e.g., .npmrc, .aws/credentials, .ssh, .kube/config) or the execution of commands containing keywords associated with credential harvesting and automated data collection scripts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
201
Detects rapid access (three or more distinct files within a 60-second window) to sensitive files typically containing credentials or configuration data (e.g., SSH keys, AWS credentials, environment files, container configurations). This pattern is often associated with credential dumping or reconnaissance activity by an adversary attempting to harvest secrets.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects instances where 'node' or 'bun' runtime processes access multiple sensitive developer configuration or credential files (e.g., .ssh, .aws/credentials, .npmrc, .kube/config). This behavior is indicative of potential credential theft or reconnaissance activities by an adversary attempting to leverage developer environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
101
Detects instances where the node.exe process attempts to read SSH configuration files or private key files (id_rsa, id_ed25519, etc.). This behavior is often associated with malicious packages or compromised scripts attempting to exfiltrate SSH credentials from the local file system. The rule includes exclusions for common node package manager installation paths and processes that appear to be performing legitimate package management or post-installation tasks.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects suspicious processes accessing, reading, or deleting browser credential stores (like 'Login Data', 'cookies.sqlite'). The rule specifically monitors for patterns where non-browser processes interact with these files, particularly when both file read and deletion actions are observed, which is a technique used by Remcos RAT to wipe existing sessions and force re-authentication for harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects an unusually high volume of access attempts (20 or more within an hour) to a user's 'Documents' or 'Desktop' folders. This activity could indicate an adversary attempting to discover or collect sensitive data.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
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