Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential command and control (C2) activity by identifying specific DNS queries to known malicious domains or suspicious network-related processes executing on an endpoint. It flags DNS requests for 'birdeemusic.com' and network connections initiated by processes with names indicative of custom or potentially malicious payloads like '_socket.pyd' or 'Traiolx Custom Utils'.
Detects Node.js processes initiating network connections to remote destination port 2222. This specific port and behavior pattern are known to be used by the Miasma botnet as a fallback C2 channel or for SSH-based remote access when standard communication ports are blocked or monitored.
This rule detects instances of the Python interpreter (python.exe) executing from the AppData\Roaming directory, which is a common persistence location for malware. It further correlates these process events with outbound network connections to external (non-private/non-RFC1918) IP addresses, identifying potential Command and Control (C2) or data exfiltration activity.
Detects instances where the Windows Service Host process (svchost.exe) initiates more than five network connections to external (non-private/non-local) IP addresses within a short timeframe. This behavior is often characteristic of command-and-control (C2) activity or beaconing by malicious code masquerading as or injecting into system services.
Detects bash processes executing commands that combine AWS identity verification with outbound exfiltration using curl. The pattern specifically monitors for the use of 'aws sts get-caller-identity' followed by an immediate HTTP POST transmission of data (indicated by '-d @-'), which is characteristic of attackers exfiltrating captured cloud environment metadata or temporary credentials.
This rule detects processes running from suspicious temporary directories (AppData, Temp, LocalAppData, TCC) initiating frequent outbound network connections to a specific non-standard destination port (18848). This behavior is often indicative of automated Command and Control (C2) heartbeats or beacons, particularly when associated with binaries executing from untrusted or user-writeable locations.
Detects indicators of the BeepRAT malware (associated with Operation DragonClone), including specific process execution patterns of HFY.exe, LuaJit.exe, or tcc.exe, network connections to known C2 infrastructure on port 18848, keylogger file creation, and malicious task scheduling or TCC loader execution techniques.
Detects the presence or activity of a known malicious Chromium-based browser extension (Perplexity AI imposter, ID: flkebkiofojicogddingbdmcmkpbplcd) through monitoring file system changes in browser directories, registry modifications, or network communication with identified command-and-control infrastructure.
Identifies outbound C2 connections to domains generated by MLTBackdoor DGA.
This rule detects activities associated with the TaskWeaver JavaScript loader and its potential second-stage payload, Djinn Stealer. It monitors for JavaScript files (like jquery.js) being executed by Windows scripting hosts (wscript.exe, cscript.exe) or Node.js, identifies suspicious child process spawning behavior (e.g., cmd.exe, powershell.exe, system reconnaissance tools) from these scripting engines, and flags outbound network connections by these processes to common web ports that may indicate command-and-control (C2) communication.
Detects outbound network connections to a known Djinn Stealer C2 IP address (96.126.130.126) on port 58942, utilizing the specific User-Agent 'telemetry-client/1.0' and 'application/octet-stream' content type. This behavior is indicative of data exfiltration of encrypted/compressed archives.
Detects outbound network connections to TCP port 4001, which is the hardcoded default C2 port for SystemBC (Coroxy) malware. The rule identifies suspicious proxy tunnel establishment from Windows workstations, often used by threat actors like Wizard Spider and FIN7 for pre-deployment staging.
Detects the installation of a malicious Chromium extension masquerading as 'Search for perplexity ai'. The rule monitors for file creation events in the Chrome extensions directory matching the specific malicious extension ID, modification of the Chrome Preferences file, and outbound network connections from the browser to the identified C2 domain.
This rule detects network connections to Discord's API webhooks endpoint, specifically looking for POST requests. This activity can indicate data exfiltration, command and control communications, or other malicious use of Discord webhooks by adversaries.
Detects network activity associated with Djinn Stealer malware, identifying either direct connections to a known command-and-control (C2) server or HTTP exfiltration attempts using a characteristic User-Agent string and binary content type.
Detects network activity and process behavior consistent with the use of the Tor network for command and control (C2), specifically targeting patterns associated with The Gentlemen ransomware-as-a-service (RaaS). The rule identifies direct execution of Tor processes, unauthorized connections to common Tor SOCKS proxy ports, and specific network communication with known malicious infrastructure linked to The Gentlemen Go-based backdoor.
Detects suspicious network-related activity initiated by common command-line utilities when spawned as child processes of Visual Studio Code (Code.exe). This pattern is often indicative of automated script execution, malware staging, or adversary activity following code repository manipulation, particularly when preceded by a git clone operation within a 15-minute window.
Detects Python or Node.js processes reading sensitive SSH private key files (id_rsa, id_ed25519) followed by an outbound network connection within a one-minute window. This behavior is indicative of credential theft and exfiltration, such as that observed in the InvisibleFerret campaign.
This rule monitors for known malicious activities associated with a specific Go-based backdoor. It detects network connections to a known command-and-control IP (81.177.215.15) on port 9443, as well as host-based behaviors including suspicious WMI-based system information discovery and the execution of cmd.exe spawned by a specific suspicious process named MediumInstStart.exe.
Detects Python scripts, launched by code.exe or node.exe (common IDE-related processes), accessing SSH private key files (id_rsa, id_ed25519, id_ecdsa) followed by an outbound network connection within 60 seconds. This behavior is indicative of credential theft and potential exfiltration or lateral movement.
Detects instances where scripting processes (Python, Node.js) accessed SSH key files or configuration files and subsequently initiated an outbound network connection within 60 seconds, which may indicate potential exfiltration of credentials or unauthorized access.
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