SigmaHQ Detections
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6,797 detections
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Detects known hacktool execution based on image name.
Detects execution of network scanning and reconnaisance tools. These tools can be used for the enumeration of local or remote network services for example.
Detects potential command-line obfuscation using Unicode characters. Adversaries may use these characters to evade detection by security tools that do not properly normalize or interpret them, making the command-line arguments difficult to analyze or signature.
Detects the creation of 'Autoit3.exe' by uncommon or suspicious processes such as 'curl.exe', 'KeyScramblerLogon.exe', 'ExtExport.exe', or 'wmprph.exe'. This activity is associated with DarkGate malware, which leverages 'Autoit3.exe' to execute shellcode for process injection and C2 communication. The identified parent processes are considered non-standard for creating this executable.
This rule detects the execution of 'Autoit3.exe' when it is spawned by suspicious parent processes such as 'cmd.exe', 'KeyScramblerLogon.exe', or 'msiexec.exe'. It specifically filters out legitimate executions of 'Autoit3.exe' from standard installation paths to reduce false positives. This activity is indicative of the DarkGate malware infection chain, which leverages AutoIt3.exe to execute shellcode for process injection and command-and-control communication.
Detects the execution of a shell (PowerShell, Bash, WSL) via a Visual Studio Code tunnel. Attackers can abuse this functionality to establish a C2 channel and execute arbitrary commands on the system.
Detects potential initial exploitation attempts against VMware Horizon deployments running a vulnerable version of Log4j (CVE-2021-44228). Specifically, this rule looks for process creation events where the parent process is 'ws_TomcatService.exe' and the created process is NOT 'cmd.exe' or 'powershell.exe'. This aims to catch unexpected executables launched by the vulnerable Tomcat service as a result of successful Log4j exploitation.
This rule detects the creation of a file named "code_tunnel.json". This file is associated with the execution and usage of the Visual Studio Code (VSCode) tunneling utility. Adversaries can abuse this functionality to establish a command and control (C2) channel, allowing them to remotely control compromised systems.
Detects command execution events originating from ScreenConnect, a legitimate remote administration tool. This rule specifically looks for Windows application log events where ScreenConnect is the provider and an event ID of 200 indicates a command of a certain length was executed. This activity can be indicative of an attacker using ScreenConnect for malicious purposes, such as executing arbitrary commands on a compromised system.
Detects the creation of files by the "node.exe" process within the ".vscode-server" directory, specifically targeting paths related to user history. This activity could indicate remote file creation via the Visual Studio Code tunnel feature, which might be used for unauthorized access or data transfer.
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