Detections

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

1,588 detections

Detects rapid access to multiple sensitive developer credential files (e.g., AWS, Kubernetes, Docker, SSH keys, npm, Git, and crypto wallets) by a single process within a 5-minute window, a pattern indicative of automated credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects the BQT.exe (BQTLock ransomware) process attempting to access web browser credential files (Chrome, Firefox, Opera) or creating a password staging file in the Windows Temp directory. This behavior is indicative of credential theft performed by the ransomware prior to or during the encryption process.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Tracks shell reconnaissance parsing /var/log/auth.log for successful logins or executing env | grep AWS_.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
307
Detects instances where a Node.js process accesses or modifies browser-related credential, cookie, or configuration files. This behavior is indicative of unauthorized data collection or credential harvesting from locally stored web browser profiles.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects instances where a Node.js process accesses sensitive files associated with web browsers (e.g., Login Data, Cookies) or SSH keys (e.g., id_rsa). This behavior is often indicative of credential theft or unauthorized data collection, where an adversary uses legitimate tooling like Node.js to stage or exfiltrate sensitive local files.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects node.exe (or node) processes accessing standard shell history files across Linux (.bash_history, .zsh_history, .sh_history, fish_history) and Windows (PSReadLine history). This behavior is characteristic of infostealer payloads, such as those observed in the Polymarket Trap npm supply chain campaign, attempting to collect sensitive command-line history.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects unauthorized file read activity by node.exe targeting browser-based crypto wallet vault files, specifically 'Local Extension Settings'. This behavior is consistent with infostealer malware (such as Miasma/MYRA) using malicious JavaScript payloads to harvest sensitive encrypted vault data from developer environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects instances where a process not associated with standard SSH operations (e.g., ssh, scp, git) accesses SSH private key files, followed by an outbound network connection to a non-private IP address within a 5-minute window. This behavior is indicative of credential theft and subsequent exfiltration of sensitive SSH keys, often associated with infostealer malware.
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Ibrahim Saud@tektrix
avatar
Detections.ai Community
4 months ago
000
Detects instances where a process not associated with standard SSH operations (e.g., ssh, scp, git) accesses SSH private key files, followed by an outbound network connection to a non-private IP address within a 5-minute window. This behavior is indicative of credential theft and subsequent exfiltration of sensitive SSH keys, often associated with infostealer malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
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.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects a process initiated by Node.js or NPM performing a DNS lookup for known malicious domains while simultaneously accessing sensitive local files such as SSH keys, AWS credentials, browser cookies, browser login data, or bash history. This pattern is indicative of a post-compromise activity where an adversary leverages a JavaScript runtime to perform credential theft and communicate with C2 infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule correlates three suspicious behaviors occurring within 10 minutes: a non-root process identified as 'bumsrakete' executes, this process accesses the sensitive kernel memory file '/dev/mem', and subsequently, a root process is spawned that is not a standard privilege escalation utility (such as sudo, su, etc.). This sequence of events is highly indicative of potential malicious activity, such as kernel-level exploitation or unauthorized privilege escalation.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects when a Node.js process accesses sensitive files associated with SSH configurations, private keys, or package manager credentials (such as .npmrc or .pypirc). Such behavior is highly unusual for legitimate web application processes and may indicate an attacker attempting to steal credentials or secrets from a compromised system.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects unauthorized access or modification attempts to the Microsoft WinGet DSC (Desired State Configuration) configuration history database and associated YAML configuration files. WinGet stores execution history and DSC configuration files in specific directories; unauthorized processes interacting with these files may indicate an attempt to gain persistence, escalate privileges, or conduct reconnaissance on configured system states by inspecting or tampering with deployment manifests.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects unauthorized or suspicious processes accessing sensitive files within the Linux /proc filesystem or application-specific directories (such as graph_api.py, main.py, or requirements.txt). By excluding standard administrative tools like systemd, rpm, dpkg, and apt, this rule highlights processes that may be performing reconnaissance, credential harvesting, or attempting to read source code in an abnormal manner.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects AstarionRAT's infostealing capability rapidly accessing multiple Chromium and Firefox SQLite databases to steal credentials and cookies.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects access to sensitive GCP credential-related files or the presence of credential-related environment variables/secrets in command lines and network request bodies. This pattern is often associated with the theft of service account keys or environment-based cloud credentials, frequently seen in serverless or containerized environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects when common web browsers (chrome.exe, msedge.exe, brave.exe, electron.exe) access local files that appear to contain sensitive credentials, secrets, tokens, or API keys based on file naming conventions and directory structures.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects clipboard access operations (Read/Write) initiated by common web browsers (Chrome, Edge, Brave, Electron-based apps) when running with specific command-line arguments typically associated with renderer or extension processes. This can indicate malicious code or browser extensions attempting to monitor or steal sensitive clipboard content.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects when common web browsers (chrome.exe, msedge.exe, brave.exe, electron.exe) access local files that appear to contain sensitive credentials, secrets, tokens, or API keys based on file naming conventions and directory structures.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects when common web browsers (chrome.exe, msedge.exe, brave.exe, electron.exe) access local files that appear to contain sensitive credentials, secrets, tokens, or API keys based on file naming conventions and directory structures.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
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