Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects the execution of ngrok.exe on a Windows operating system. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line arguments. This activity is significant because while ngrok is a legitimate tool for creating secure tunnels, it is increasingly used by adversaries to bypass network defenses and establish reverse proxies. If confirmed malicious, this could allow attackers to exfiltrate data, maintain persistence, or facilitate further attacks by tunneling traffic through the compromised system.
Detects the handshake process for Blackwood/Chisel reverse SOCKS5 or TCP-over-HTTP tunneling to a known malicious Iranian-hosted C2 IP address. The detection matches specific HTTP headers used by the Chisel tool during its initialization phase.
This detection identifies potential abuse of SSH "ProxyCommand" or "LocalCommand" by monitoring for suspicious process execution patterns.
Specifically, it looks for instances where ssh.exe (as a parent process) containing "ProxyCommand" or "LocalCommand" in its arguments spawns potentially malicious child processes like mshta, powershell, wscript, or cscript, or processes containing "http" in their command line.
This technique can be used by attackers to execute arbitrary commands through SSH proxy configurations, potentially enabling command & control activities or remote code execution. The detection focuses on commonly abused Windows scripting engines and web requests that may indicate malicious activity when spawned through SSH proxy commands.
Specifically, it looks for instances where ssh.exe (as a parent process) containing "ProxyCommand" or "LocalCommand" in its arguments spawns potentially malicious child processes like mshta, powershell, wscript, or cscript, or processes containing "http" in their command line.
This technique can be used by attackers to execute arbitrary commands through SSH proxy configurations, potentially enabling command & control activities or remote code execution. The detection focuses on commonly abused Windows scripting engines and web requests that may indicate malicious activity when spawned through SSH proxy commands.
Detects the handshake process for Blackwood/Chisel reverse SOCKS5 or TCP-over-HTTP tunneling to a known malicious Iranian-hosted C2 IP address. The detection matches specific HTTP headers used by the Chisel tool during its initialization phase.
This rule monitors NetScaler ADC logs for indicators associated with the PitScaler campaign, specifically targeting exploitation of CVE-2026-88771 and CVE-2026-88772. It detects exploitation artifacts (DTLS handshake errors, NSPPE crashes), deployment of WHIPSHOT/SLAPSHOT malware, web shell installation, httpd.conf configuration tampering, persistence mechanisms involving privilege escalation (chmod), and connections to known malicious infrastructure.
Detects network activity related to the 'Blinder Tunnel' C2 infrastructure. The rules identify a Chisel tunnel client initiating a WebSocket handshake (identifiable by the 'chisel-v3-channel' header) to external infrastructure and a DNS lookup for a specific domain (soroshpasargad.com) identified as a relay nameserver used by the threat actor CL-STA-1178.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
This rule detects outbound network connections directed at a known IP address associated with Akira ransomware infrastructure. The rule specifically monitors for communication with 64.227.4.134, which has been identified as a C2 node utilizing GOST tunnels. This behavior is indicative of established C2 connectivity by Akira ransomware actors.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
Detects the execution of known tunneling binaries (ngrok, cloudflared) or network connections to tunneling service domains (ngrok.io, ngrok-free.app, trycloudflare.com), which are frequently used to establish unauthorized remote access or bypass perimeter security controls.
This rule detects indicators of the PitScaler campaign targeting Citrix NetScaler ADC and Gateway appliances, exploiting vulnerabilities (CVE-2026-88771, CVE-2026-88772). It identifies the full attack chain including initial DTLS heap corruption exploitation, WHIPSHOT web shell C2 patterns, SLAPSHOT tunneling artifacts, web shell deployment files, httpd.conf PHP configuration tampering for persistence, privilege escalation via setuid /bin/sh modification, and anti-forensic log tampering.
This rule detects outbound network connections directed at a known IP address associated with Akira ransomware infrastructure. The rule specifically monitors for communication with 64.227.4.134, which has been identified as a C2 node utilizing GOST tunnels. This behavior is indicative of established C2 connectivity by Akira ransomware actors.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
This rule monitors NetScaler ADC logs for indicators associated with the PitScaler campaign, specifically targeting exploitation of CVE-2026-88771 and CVE-2026-88772. It detects exploitation artifacts (DTLS handshake errors, NSPPE crashes), deployment of WHIPSHOT/SLAPSHOT malware, web shell installation, httpd.conf configuration tampering, persistence mechanisms involving privilege escalation (chmod), and connections to known malicious infrastructure.
This rule detects indicators of the PitScaler campaign targeting Citrix NetScaler ADC and Gateway appliances, exploiting vulnerabilities (CVE-2026-88771, CVE-2026-88772). It identifies the full attack chain including initial DTLS heap corruption exploitation, WHIPSHOT web shell C2 patterns, SLAPSHOT tunneling artifacts, web shell deployment files, httpd.conf PHP configuration tampering for persistence, privilege escalation via setuid /bin/sh modification, and anti-forensic log tampering.
Detects the execution of Python-based tunneling tools located in the 'C:\Users\Public\indigo\' directory, which is a known staging location for malicious implants used in covert tunneling operations.
This rule detects outbound network connections directed at a known IP address associated with Akira ransomware infrastructure. The rule specifically monitors for communication with 64.227.4.134, which has been identified as a C2 node utilizing GOST tunnels. This behavior is indicative of established C2 connectivity by Akira ransomware actors.
Detects the GOST tunnel binary deployed as svchost.exe from a staging directory, identified by its known hash, or by an unsigned PE importing config.dll with a matching MZ header and embedded config.dll reference (reduces FPs from legitimately signed software that imports a DLL of the same name)
Detects evidence of the SLAPSHOT backdoor on Citrix NetScaler appliances by identifying specific ephemeral IPC files (/tmp/.uxdport and /tmp/.uxdlock) or the associated python-based launcher process that uses base64-encoded arguments to initialize the proxy daemon.
Detects the execution of known tunneling and reverse proxy tools (ngrok, cloudflared, localtunnel) commonly abused by adversaries to create outbound tunnels for C2, bypass firewalls, or exfiltrate data.
Detects specific markers in UDP traffic on ports 3478, 5349, and 443 that are associated with the DragonForce malware's TRN1 C2 beaconing protocol. The rules identify session initiation, task polling, task acknowledgment, and result uploading behaviors.
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