Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous processes targeting modern AI developer credential files and configuration files for tools like Claude, Gemini, and Cursor, a behavior exhibited by IronWorm.
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).
Maps to Atomic Red Team test "Create Hidden User using IsHidden option" (T1564.002).
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.
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/.
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.
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.
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.
Detects modification of macOS login hook scripts for persistence
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.
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.
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.
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.
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.
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.
Privnote DNS Resolution
Cortex XDR
Identifies endpoints resolving privnote.com, a self-destructing message service abused by UNC3753 to transmit malicious installation links while bypassing chat and email filtering.
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.
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.
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.
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.
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.
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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