Ibrahim Saud
@tektrixIndiaCompletionist
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11,679 detections
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This rule detects a sequence of suspicious events related to the 'ENCFORGE' threat actor or toolset. It monitors for evidence of initial access (via validation/code API calls), command and control communication (to specific IP/port), and destructive impact, correlating these activities within a 4-hour window on the same host.
This rule detects outbound network communications (TLS, MQTT, and HTTP) to HiveMQ infrastructure. The pattern of activity suggests the presence of 'Bird Agent' malware utilizing the MQTT protocol for command and control (C2) communication, as well as periodic HTTP beaconing to HiveMQ broker endpoints.
Detects outbound TCP traffic from the internal network to external destinations that match characteristics of Gorilla RAT registration beacons. This includes established sessions with small packet sizes (<64 bytes) and frequent, repeated attempts as defined by the threshold.
Detects the execution of powershell.exe or cmd.exe with a combination of -NonInteractive, -NoProfile, and -Command arguments. This combination is frequently used by adversaries to execute scripts or commands stealthily, without user interaction or loading profile configuration files, which is a common behavior during the execution phase of an attack.
Detects suspicious Python execution patterns commonly associated with web shells or remote code execution, originating from typical web server or application middleware processes (e.g., w3wp, nginx, httpd, tomcat). The detection triggers on specific patterns including base64-encoded command execution, Python evaluation of base64-encoded strings, or long alphanumeric command-line strings suggesting obfuscated code execution.
This rule monitors for suspicious process execution patterns that suggest system tampering, security tool evasion, or data concealment. It detects activities such as clearing event logs, modifying Windows Defender preferences (exclusions/real-time monitoring), creating suspicious scheduled tasks, deleting volume shadow copies, and using PowerShell for credential or system state manipulation.
Detects Python scripts that exhibit behavioral characteristics of agentic or LLM-generated malicious code. This is identified by the presence of self-narrating comments describing intent, next steps, or staging/exfiltration actions, combined with hardcoded indicators for the JADEPUFFER staging infrastructure.
Detects high-volume HTTP GET requests containing the 'SetupCompleted' URI pattern directed at PaperCut servers, which is indicative of automated exploitation attempts targeting authentication bypass vulnerabilities.
This rule detects a multi-stage attack pattern originating from a web-based service. It identifies a web application process (like w3wp.exe, httpd.exe, or java.exe) spawning suspicious child processes (cmd.exe, powershell.exe, etc.), followed by the creation of new files and external network connections. This chain of behavior is highly indicative of web shell exploitation, post-exploitation command execution, and data exfiltration or C2 communication.
Detects instances where the Internet Information Services (IIS) worker process (w3wp.exe) initiates execution of common command-line utilities or scripting interpreters, such as cmd.exe, powershell.exe, or certutil.exe. This behavior is highly atypical for web servers and is often indicative of exploitation attempts or post-exploitation activities following an initial compromise of a web application.
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