Detections

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

3,641 detections

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.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects when a single process rapidly creates or modifies three or more YAML files (files ending with '.yaml' or '.yml') within an hour. It specifically looks for these activities in paths containing 'config' or 'pipeline', which could indicate configuration changes, deployment activities, or potential malicious manipulation of system or application settings.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
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.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
004
This rule detects when a single process account initiates a high volume (10 or more) of file move operations to folders associated with cloud storage services (e.g., 'cloud', 'dropbox', 'drive') within a one-hour window. This behavior could indicate data exfiltration or staging for exfiltration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
Detects network connections downloading the Bun runtime from the oven-sh GitHub repository, a behavior exhibited by the Hades loader. This rule specifically looks for HTTP network events where the URL contains 'github.com' and 'oven-sh/bun/releases/download', indicating an attempt to download the Bun runtime.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
0012
This rule detects the delivery of an AppleScript payload over HTTP. It specifically looks for HTTP responses (flow:to_client) that contain the string ".scpt" (case-insensitive) in the HTTP URI. This indicates a potential malicious script being downloaded to a client system, often used for execution on macOS systems.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
Detects the creation of files with the .payload extension or the RECOVER_payload.txt ransom note, indicating active encryption by Payload ransomware.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
2015
Detects enumeration of git credential helpers via 'git config --global credential.helper'. This command is used by adversaries, such as Miasma, to determine how credentials are stored (e.g., wincred, osxkeychain, store) before attempting extraction.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects tampering with 'binding.gyp' files by processes other than 'npm', 'node', or 'yarn'. Modifying these build scripts can allow attackers to achieve arbitrary code execution during the 'npm install' phase, indicating a potential supply chain compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects attempts to modify macOS Plist files over an SSH connection. Specifically, it looks for TCP traffic on port 22 (SSH) where the payload contains both '/Library/Preferences/' and '.plist' (case-insensitive). This activity is flagged as potential defense evasion, as modifying Plist files can be used to alter system behavior or application settings to evade security mechanisms.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
Detects processes making network requests to the '/api/css.js' endpoint, which is indicative of the ErrTraffic malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects outbound network connections to URLs associated with common file sharing services (e.g., Dropbox, Mega, Gofile) or temporary email providers (e.g., Temp-Mail). Such connections can indicate data exfiltration attempts, use of unsanctioned services, or communication with command and control infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
105
This rule watches for Node or similar runtimes scanning cloud secret stores after installing a dependency. Stolen secrets can lead to full cloud account takeover. Validate the package against your software bill of materials. 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
203
This rule detects suspicious downloads of Python packages from pypi.org or pypi.python.org by pip or python executables. It specifically looks for a high volume (5 or more) of downloads of common package names (numpy, requests, pandas, util, common) within a one-hour window from a single device. This could indicate an attempt to compromise the software supply chain by introducing malicious versions of popular packages.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects the deployment of a macOS Launch Agent Property List (plist) file via HTTP. It specifically looks for HTTP responses (flow:to_client) containing both ".plist" in the URI and "LaunchAgent" within the file data, indicating a potential persistence mechanism being established on a macOS system.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
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
Bharat Cyber Guardians
4 months ago
001
Detects the use of curl to download files from Telegram to local temp folder, which may indicate initial malware staging.
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
2016
Detects creation of Emond rules for macOS event monitor persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects modification of macOS re-opened applications list for persistence on login
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects launchctl used to load services for macOS persistence or execution
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects the initial execution phase of the Phantom Gyp technique where a node-gyp rebuild command is abused to execute a silent payload and return a fake C stub file. This behavior is associated with the Miasma npm supply chain attack.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
2012
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