Detections

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

3,651 detections

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
5 months ago
001
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
5 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
5 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
Detects modification of macOS plist files to hide processes or enable autostart
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects bulk scraping of LinkedIn company profiles for employee intelligence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects legitimate software deployment tools used for remote execution
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a high volume of file creation events (100 or more within an hour) occurring in common development-related directories such as 'node_modules', 'packages', or 'vendor'. This activity can be indicative of legitimate software development processes like dependency installation or project builds. However, it can also signal malicious activity, particularly if observed on systems not typically used for development, or as part of a supply chain compromise where malicious dependencies are being introduced or built.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
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
Bharat Cyber Guardians
5 months ago
003
This rule detects a high volume of network connections (10 or more within an hour) from a single process to remote URLs containing 'artifact' or 'maven' on standard HTTP (port 80) or HTTPS (port 443) ports. This activity could indicate legitimate software development or build processes, but also potentially malicious activities such as supply chain compromise, data staging, or exfiltration of development-related artifacts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
Detects the execution of the Bun runtime passing '_index.js' as a target, matching the Hades PyPI campaign loader behavior. This indicates potential malicious activity associated with the Hades PyPI campaign.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
009
This rule detects attempts to execute AppleScript commands remotely over SSH. It specifically looks for the string "osascript" (case-insensitive) within TCP traffic destined for port 22 (SSH) on the home network, indicating a potential remote execution of AppleScript.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
Detects loading of kernel modules for deep system persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects network connections from devices to a predefined list of known malicious domains. It identifies attempts by internal systems to communicate with command and control servers, phishing sites, or other infrastructure associated with threat actors.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
Detects modifications to the `/Library/Preferences/com.apple.loginwindow.plist` file on macOS. This file can be abused by adversaries to establish persistence by configuring login hooks or other autostart mechanisms.
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
3016
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