Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,252 detections
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Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to command-and-control infrastructure associated with the JeetBot/Twitch Enhanced Viewer malicious browser extension. The rule triggers on connections to known malicious domains or IPs, as well as specific API endpoints on ambiguous domains that are used for exfiltrating Twitch OAuth tokens.
Detects network connections to known JeetBot infrastructure domains and IP addresses. The rule specifically identifies potential exfiltration of Twitch OAuth tokens via URL parameters or interaction with known token-collection proxy endpoints, which are associated with the JeetBot/Twitch Enhanced Viewer credential harvesting campaign.
Detects sustained beaconing behavior originating from the internal network to known malicious HVNC (Hidden Virtual Network Computing) C2 infrastructure. The rule identifies repeated connection attempts (5 or more TCP SYNs within a 180-second window) targeting specific hardcoded IP addresses on non-standard ports (27015/27017), indicative of a compromised host maintaining persistent C2 communication.
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
Detects the creation of a Linux named pipe (mkfifo) used in conjunction with netcat (nc) to establish a reverse shell connection to a specific C2 IP address or port 3090. This combination of commands is a common technique used by attackers to achieve remote command execution.
Detects outbound TCP traffic originating from the internal network destined for a known malicious IP associated with Meterpreter Java payload retrieval and post-exploitation Command and Control (C2) activity, potentially related to PaperCut vulnerability exploitation.
Detects outbound TCP traffic originating from the internal network destined for a known malicious IP associated with Meterpreter Java payload retrieval and post-exploitation Command and Control (C2) activity, potentially related to PaperCut vulnerability exploitation.
The detection rule identifies network connections to 'dauntingmoon.online' specifically hitting '/api/verification/init' or '/api/verification/check' paths. It validates that both 'session' and 'link_id' query parameters are present in the request. This pattern is indicative of a specific adversary beaconing or command and control (C2) callback mechanism involving session-based authentication or handshake steps with a remote server.
The detection rule identifies network connections to 'dauntingmoon.online' specifically hitting '/api/verification/init' or '/api/verification/check' paths. It validates that both 'session' and 'link_id' query parameters are present in the request. This pattern is indicative of a specific adversary beaconing or command and control (C2) callback mechanism involving session-based authentication or handshake steps with a remote server.
Detects specific suspicious processes (identified by hash or path) initiating a listening network connection on non-standard ports typically associated with honeypot captures, specifically referencing Cowrie-related paths or known malicious samples.
Detects sustained beaconing behavior originating from the internal network to known malicious HVNC (Hidden Virtual Network Computing) C2 infrastructure. The rule identifies repeated connection attempts (5 or more TCP SYNs within a 180-second window) targeting specific hardcoded IP addresses on non-standard ports (27015/27017), indicative of a compromised host maintaining persistent C2 communication.
Detects sustained beaconing behavior originating from the internal network to known malicious HVNC (Hidden Virtual Network Computing) C2 infrastructure. The rule identifies repeated connection attempts (5 or more TCP SYNs within a 180-second window) targeting specific hardcoded IP addresses on non-standard ports (27015/27017), indicative of a compromised host maintaining persistent C2 communication.
This rule identifies a discrepancy between actual network connections processed by HAProxy and the corresponding entries in its server-side logs. Such inconsistencies can indicate the presence of a malicious backdoor compiled into or injected into the HAProxy process, designed to facilitate C2 traffic while evading standard monitoring by suppressing or omitting logging for those connections.
Detects the execution of Terraform commands (init, apply, plan) that interact with the 'registry.coder.com' domain, or direct network connections to the associated infrastructure. This may indicate the use of unauthorized or compromised Infrastructure-as-Code (IaC) modules or malicious supply chain activity involving Terraform configurations.
This rule identifies a discrepancy between actual network connections processed by HAProxy and the corresponding entries in its server-side logs. Such inconsistencies can indicate the presence of a malicious backdoor compiled into or injected into the HAProxy process, designed to facilitate C2 traffic while evading standard monitoring by suppressing or omitting logging for those connections.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
Detects periodic screen capture activity performed by Node.js or Electron-based processes, correlated with subsequent outbound network connections to public IP addresses within a short timeframe. This behavior is indicative of the JSCeal malware's surveillance and exfiltration module, where local reconnaissance via screenshotting is followed by data transmission.
This rule monitors DeviceNetworkEvents for outbound connections to a list of known malicious or suspicious IP addresses. This activity is indicative of potential command and control (C2) communication or unauthorized data exfiltration.
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