Detections

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

2,003 detections

This YARA rule detects the Bam2021 ransomware by identifying specific byte patterns associated with its core functionalities. These functionalities include enumerating shares, finding files for encryption, generating encryption keys, performing file encryption, and establishing remote connections, likely for command and control or data exfiltration.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
5 years ago
0026
This YARA rule detects the Zhen ransomware by identifying specific byte patterns associated with its file finding, file encryption, and network scanning functionalities. The rule looks for distinct sequences of instructions that are characteristic of how Zhen ransomware operates, including patterns related to locating files, encrypting them, and scanning the network for additional targets. The rule requires all three sets of patterns (find_files, encrypt_files, and scan_network) to be present within a PE file (indicated by the 'MZ' header) to trigger a detection.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0027
This YARA rule detects the HakunaMatata ransomware by identifying specific byte patterns associated with its file encryption routines, file searching mechanisms, and remote connection capabilities. The rule looks for multiple combinations of these patterns to increase accuracy and reduce false positives. It also includes patterns related to service installation, which is a common persistence mechanism for ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0026
This YARA rule detects various versions of the DMALocker ransomware. It identifies specific byte patterns associated with file encryption routines, enumeration of shares and logical disks, and remote server communication, indicating the presence and activity of DMALocker.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0028
This rule detects the Dharma ransomware based on specific byte patterns found within the executable. The patterns indicate functionalities related to file searching, encryption routines, and enumeration of network shares, which are characteristic behaviors of Dharma ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0039
This rule detects the LooCipher ransomware by identifying specific byte patterns associated with its functionality. The patterns include code related to establishing remote connections, encrypting files, and finding files on the system. The rule requires all three patterns to be present in an executable file (MZ header) to trigger, aiming to reduce false positives.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0026
This Yara rule detects the Mafia ransomware by identifying specific byte patterns related to its file discovery, file encryption, and remote connection functionalities. The rule looks for a combination of these patterns within a file to confirm the presence of the Mafia ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0028
This rule detects the Ako ransomware by identifying specific byte patterns (YARA signatures) associated with its file encryption routines, including those targeting local files and network shares. The rule looks for distinct code sequences related to file enumeration and encryption activities, indicating the presence and execution of the Ako ransomware.
ReversingLabs Yara@ReversingLabsYara
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ReversingLabs Yara
6 years ago
0028
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