Detections

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

3,641 detections

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
4 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
4 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
4 months ago
001
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
Detects anomalous processes targeting modern AI developer credential files and configuration files for tools like Claude, Gemini, and Cursor, a behavior exhibited by IronWorm.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
14034
Detects setting IsHidden on a macOS user record to suppress the account from the login screen.
Maps to Atomic Red Team test "Create Hidden User using IsHidden option" (T1564.002).
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
007
This rule detects network traffic containing the string "LSSharedFileList" (case-insensitive) on TCP port 22 (SSH). This string is associated with macOS Login Items, which can be used for persistence by adversaries. The rule specifically looks for this content in traffic flowing from the client to the server.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
105
Detects Node.js or Bun processes making network connections to the GitHub API. This rule is designed to identify potential exfiltration attempts, specifically referencing the Miasma campaign which spoofs a 'python-requests/2.31.0' User-Agent to evade network detection while exfiltrating credentials to api.github.com/repos/.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
10023
This rule detects potential macOS XPC Service abuse via remote SSH. Specifically, it looks for TCP traffic on port 22 (SSH) within the home network that contains the strings "launchctl" and "submit" (case-insensitive). This combination suggests an attempt to use the launchctl command to submit a job, potentially exploiting XPC services, over an SSH connection.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects the creation of local user accounts on macOS using the 'dscl' command-line utility, specifically looking for the '-create' action within the '/Users/' directory and the presence of 'UniqueID' or 'IsHidden' parameters. The rule excludes common system-related UniqueIDs (0, 1, 202, 205, 248) to reduce false positives from legit system operations.
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
2011
Monitors for network connections originating from the VSCode extension host process to GitHub API endpoints immediately following a new extension installation. This may indicate token exfiltration or repository enumeration from a malicious extension.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
13038
Detects modification of macOS login hook scripts for persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
Detects the creation or modification of a VSCode package.json file that maps a keybinding to the 'workbench.extensions.installExtension' command while explicitly setting the 'skipPublisherTrust' flag to true. This technique can be used by adversaries to install malicious VSCode extensions without publisher trust checks, potentially leading to supply chain compromise or defense evasion.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
14035
This rule detects network connections or DNS queries to a specific Internet Computer Protocol (ICP) domain and canister ID (tdtqy-oyaaa-aaaae-af2dq-cai.raw.icp0.io or tdtqy-oyaaa-aaaae-af2dq-cai). This pattern is associated with command and control (C2) activity, where compromised systems communicate with an adversary-controlled server.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
Detects potential WordPress malware activity that abuses Steam Community profile comments as a command-and-control (C2) channel. The malware retrieves encoded payloads hidden in Steam profile comments using invisible Unicode characters, decodes malicious URLs, and downloads additional JavaScript payloads. This rule identifies outbound connections from WordPress servers to Steam Community URLs or known malicious infrastructure associated with this campaign.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
603
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