Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,641 detections
Filters
Last updated
All Time
Detection languages
1,765
375
349
273
255
Contributors
908
661
593
359
164
Categories
1,498
1,162
780
529
520
Platforms
39,951
7,276
6,526
3,865
3,641
Products / Services
812
512
432
342
298
MITRE Techniques
1,184
574
524
506
443
CVEs
17
16
9
8
8
IDS Classtypes
41
15
10
6
5
IDS Protocols
47
24
3
2
1
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.
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]+".
Detects creation of disposable email accounts used for attack infrastructure
Detects high-volume use of AI APIs potentially for generating attack content
Detects installation of rootkit kernel modules for deep system hiding
Detects bulk scraping of LinkedIn company profiles for employee intelligence
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.
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.
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.
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.
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.
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.
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.
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'.
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'.
Detects ptrace access to securityd process memory for credential extraction
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.
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).
Detects attempts to bypass macOS Gatekeeper security controls
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.
Detects large HTTPS uploads used for data exfiltration over encrypted channels
Page 140 of 174




