Detections

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

3,641 detections

Looks for curl or wget downloading a payload followed by node or bun immediately executing a .js or .mjs file. This pattern is indicative of supply chain attacks, particularly those targeting JavaScript ecosystems like npm.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Identifies rapid dropping of many distinct files deep within the .npm/_npx/ directory structure, a precursor to worm execution. This rule specifically looks for more than 20 distinct file creations within a 5-minute window in paths matching the regex ".npm[\]_npx[\][0-9a-fA-F]+".
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects creation of disposable email accounts used for attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
107
Detects high-volume use of AI APIs potentially for generating attack content
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
Detects installation of rootkit kernel modules for deep system hiding
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
Detects bulk scraping of LinkedIn company profiles for employee intelligence
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
004
This rule detects when package managers like npm, bun, or pnpm access SSH private key files. Such activity can indicate a supply chain attack where a malicious package attempts to exfiltrate sensitive credentials, granting unauthorized access to servers. If this alert fires, investigate the initiating process, check for newly installed software, and audit server logins associated with the compromised SSH key. Involve your security team if the cause is unclear.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
108
Detects the creation of macOS/Linux LaunchAgent property list files associated with 'gh-token-monitor', indicating potential persistence for the Miasma malware family on macOS environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the archiving (tar or zip) of .git directories. This activity can indicate an adversary attempting to exfiltrate full source code history and internal intellectual property.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects anomalous connections to Sigstore infrastructure (Fulcio/Rekor) by non-standard processes. This activity could indicate an attempt to forge or manipulate supply chain signatures, potentially by malware like Miasma.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects modifications to the VSCode tasks.json configuration file by processes other than the VSCode editor itself. This activity can indicate an attempt to establish persistence or execute malicious code, as seen with malware like Miasma which alters this file to run malicious code during local builds.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
This rule detects network connections made by Python or Node.js processes to known webhook API endpoints for Telegram or Discord. This behavior is often associated with command and control (C2) communication, where attackers use legitimate messaging platforms to control compromised systems or exfiltrate data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects the use of the Electron setLoginItemSettings API for startup persistence. This API allows Electron-based applications to configure themselves to launch automatically when a user logs in, which can be abused by adversaries to maintain access to a system.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects processes making network requests to the '/cf.js' endpoint, which is indicative of ErrTraffic activity. This rule specifically looks for network events where the remote URL ends with '/cf.js'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects the execution handoff from a malicious JavaScript extension within VS Code to host-specific execution agents. This includes compiled Windows executables like 'monitor-agent.exe', 'job-agent.exe', 'processor-service.exe', and Python processes executing Linux/macOS agent scripts such as 'handler-agent.py', 'monitor-agent.py', 'processor-agent.py'. The detection logic filters for processes initiated by 'node.exe', 'electron.exe', or 'code.exe'.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
8019
Detects ptrace access to securityd process memory for credential extraction
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
106
This rule detects DNS queries to known malicious domains associated with various APT groups and ransomware families. The domains are hardcoded indicators of compromise (IOCs) and their resolution suggests potential compromise or communication with adversary infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
Detects network connections to known or suspected Command and Control (C2) IP addresses and ports associated with ransomware activity. This rule specifically looks for outbound connections from devices to a predefined list of suspicious remote IP addresses on common C2 ports (443, 8443, 6379, 27017).
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
103
Detects attempts to bypass macOS Gatekeeper security controls
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
104
This rule alerts when a new format-check workflow is created matching malicious supply-chain templates. These workflows run on every push and can steal secrets. Require security review for all new workflow files. Ask the person who used the computer whether they installed new software or clicked a link, and involve your security team if the answer is unclear.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
0013
Detects large HTTPS uploads used for data exfiltration over encrypted channels
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
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