Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

8,393 detections

Detects creation of the PSEXEC key file. Which is created anytime a PsExec command is executed. It gets written to the file system and will be recorded in the USN Journal on the target system
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
Detects the creation of a schtask that potentially executes a base64 encoded payload stored in the Windows Registry using PowerShell.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
Detects the execution of a renamed version of the "Mavinject" process. Which can be abused to perform process injection using the "/INJECTRUNNING" flag
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
Adversaries may establish persistence and elevate privileges by executing malicious content triggered by a Windows Management Instrumentation (WMI) event subscription.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
Detects process injection using the signed Windows tool "Mavinject" via the "INJECTRUNNING" flag
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
001
Detects creation of a new service via "sc" command or the powershell "new-service" cmdlet with suspicious binary paths
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
Detection of unusual child processes by different system processes
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
4 years ago
000
This YARA rule detects the Lorenz ransomware by identifying specific byte patterns associated with its file encryption routines, file discovery mechanisms, scheduled task creation for persistence, and remote connection functionalities. The rule includes two main versions of the ransomware's code, covering different implementations of these malicious activities.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
4 years ago
0025
This YARA rule detects the Monalisa ransomware by identifying specific byte sequences (strings) associated with its core functionalities. These functionalities include finding files for encryption, writing to process memory (potentially for injection or other malicious operations), generating encryption keys, and encrypting files. The rule also checks for the standard Windows PE header (MZ) to ensure it's analyzing an executable.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
4 years ago
0026
Detects an interactive AT job, which may be used as a form of privilege escalation.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
5 years ago
000
A General detection for sdclt spawning new processes. This could be an indicator of sdclt being used for bypass UAC techniques.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
5 years ago
001
Detects creation of WMI event subscription persistence method
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
5 years ago
000
This rule detects the DarkSide ransomware by identifying specific byte patterns (YARA signatures) associated with its functionality. The rule looks for combinations of code that suggest file enumeration, drive enumeration, privilege escalation, and network share enumeration, which are common behaviors of DarkSide ransomware. Specifically, it checks for two main sets of conditions: one involving finding files, enumerating drives, and escalating privileges, and another involving finding files and enumerating network shares. The rule also verifies that the file is a Windows executable (MZ header).
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
5 years ago
0033
This rule detects the HentaiOniichan ransomware based on specific byte patterns found in its executable code. The patterns indicate functionalities related to finding files, injecting code into processes, encrypting files, and establishing remote connections. The rule specifically looks for the MZ header (0x5A4D) to confirm it's a Windows executable and then matches against all defined string patterns for high confidence detection.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0028
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