Detections

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

3,641 detections

This rule detects devices making a high volume of outbound network connections (more than 1000 connections within a one-minute window) to a single remote IP address. This behavior could indicate a network denial-of-service (DoS) attack originating from the device, or potentially other forms of high-volume network activity such as data exfiltration or scanning.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
Detects the use of the `sysadminctl` utility with the `addUser` or `-addUser` command-line arguments, which can be used to create new user accounts on macOS systems. This activity could indicate an adversary attempting to establish persistences by creating new accounts.
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
6010
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
002
This rule detects when a single process modifies or creates three or more YAML files ('.yaml' or '.yml' extensions) within folders containing 'config' or 'pipeline' in their path, within a one-hour window. This behavior could indicate an attacker modifying configuration or deployment files, potentially for persistence, defense evasion, or impact.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Identifies endpoints resolving privnote.com, a self-destructing message service abused by UNC3753 to transmit malicious installation links while bypassing chat and email filtering.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
208
This rule detects attempts to abuse the macOS AuthorizationExecuteWithPrivileges function, which allows an application to execute a command with root privileges. The detection is based on the presence of the string "AuthorizationExecuteWithPrivileges" in HTTP response data, indicating a potential attempt by malware or an attacker to escalate privileges on a macOS system.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects the delivery of a payload designed to bypass macOS Transparency, Consent, and Control (TCC) mechanisms via HTTP. Specifically, it looks for the string "kTCCServiceCamera" within HTTP response data, indicating an attempt to manipulate camera access permissions. This activity is often associated with privilege escalation techniques on macOS.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects the delivery of a macOS Launch Daemon Property List (.plist) file via HTTP. Attackers often use Launch Daemons for persistence on macOS systems. The rule specifically looks for HTTP traffic containing '.plist' in the URI and 'LaunchDaemon' within the file data, indicating a potential attempt to establish persistence.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects the execution of the GitHub CLI command 'gh auth token'. This behavior was observed being used by the hijacked Bitwarden CLI npm package (TeamPCP campaign) to extract and steal active GitHub credentials from developer environments.
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Robert Fly@robertfly
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Detections.ai Community
5 months ago
7036
This rule detects network traffic containing the string "/..namedfork/rsrc" (case-insensitive) over TCP to port 22 (SSH). This pattern is indicative of an attempt to use macOS resource forks to hide payload data, a technique often employed by malware for defense evasion. The detection specifically targets traffic originating from and destined for the home network, suggesting an internal system attempting to exfiltrate or receive hidden data.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the delivery of a macOS Keychain Access tool via HTTP. It specifically looks for the string "SecKeychainFindInternetPassword" within the file data of HTTP traffic flowing from the server to the client. This string is indicative of an application attempting to access or manipulate macOS Keychain passwords, suggesting the presence of malware or a malicious utility designed to extract credentials.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects the execution of commands indicative of a user pasting a malicious script into the Terminal, often associated with ClickFix or fake CAPTCHA social engineering attacks. This typically involves using tools like `curl` to download and pipe payloads directly to a shell, or the use of `pbpaste` to execute clipboard contents.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
1027
This rule detects the creation of files with names commonly associated with ransomware notes (e.g., 'ransom_note', 'decrypt_files', 'pay_ransom') and common text file extensions (.txt, .html, .htm). It summarizes these events by device and time, flagging devices where at least one such file is observed.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects the creation of the '.bun_ran' sentinel file in the system temp directory, used by the Hades malicious PyPI loader to avoid repeated executions. This file acts as a marker to prevent subsequent infections or executions of the malware.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
105
Detects installation or execution of known typo-squatted npm packages linked to TeamPCP copycats (Shai-Hulud clones and DDoS botnets).
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Ravi Asakapalli@Ravishankaraskp
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Detections.ai Community
5 months ago
501,289
This rule detects attempts to modify the macOS Transparency, Consent, and Control (TCC) database over an SSH connection. The TCC database stores user privacy settings, and its modification can indicate an attempt to bypass security controls or escalate privileges. The rule specifically looks for the string "TCC.db" within TCP traffic directed to port 22 (SSH).
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects modifications to macOS Login Hook scripts via SSH. Login Hooks are scripts that execute when a user logs in or out, and their modification can be an indicator of persistence mechanisms used by attackers. The rule specifically looks for TCP traffic on port 22 (SSH) containing the string 'LoginHook' in a case-insensitive manner, indicating an attempt to interact with or modify these scripts.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the string "LC_LOAD_DYLIB" within HTTP response bodies (file data). This string is associated with the loading of dynamic libraries (DYLIBs) on macOS systems. In a malicious context, this could indicate an attempt to inject a malicious DYLIB into a process, potentially for persistence or code execution. The rule specifically looks for this content in traffic flowing from the server to the client.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects modifications to the 'com.apple.loginwindow' content over a TCP connection to port 22 (SSH). This content is associated with macOS's re-opened applications list, which can be manipulated by adversaries to establish persistence by ensuring malicious applications are launched after a user logs in or a system restarts. The detection specifically looks for the string 'com.apple.loginwindow' in the traffic, indicating an attempt to interact with or modify this critical system component.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the delivery of potentially malicious kernel modules or extensions over HTTP. It specifically looks for HTTP responses containing files with '.ko' (Linux kernel object) or '.kext' (macOS kernel extension) file extensions in the URI, indicating a client is downloading such a file. The 'flow:to_client,established' ensures the detection occurs on files being sent from a server to a client over an established HTTP connection.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to hijack macOS applications using malicious dynamic libraries (DYLIBs). It specifically looks for HTTP responses containing a URI with the ".dylib" extension and the content "__TEXT" within the file data, indicating a Mach-O executable segment. This combination suggests the delivery of a potentially malicious dynamic library designed for hijacking purposes on macOS systems.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
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