Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
956 detections
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Detect usage of the "sqlite" binary to query databases in Firefox and other Gecko-based browsers for potential data stealing.
Cisco Collect Data
Sigma
Collect pertinent data from the configuration files
Detects dump of credentials in VeeamBackup dbo
Detects suspicious local connections via a named pipe to the AD FS configuration database (Windows Internal Database).
Used to access information such as the AD FS configuration settings which contains sensitive information used to sign SAML tokens.
Used to access information such as the AD FS configuration settings which contains sensitive information used to sign SAML tokens.
Detects potentially suspicious SQL queries using SQLCmd targeting the Veeam backup databases in order to steal information.
This rule detects the Menorah backdoor by identifying specific bytecode patterns related to its functionality. The patterns indicate capabilities such as sending system fingerprints to a command and control (C2) server, enumerating files and directories, and uploading files to the C2 server. The rule specifically targets .NET bytecode (MSIL) and requires all three sets of patterns to be present for a match, reducing false positives.
This rule detects the LumarStealer infostealer malware based on specific byte patterns (YARA signatures) associated with its core functionalities. These functionalities include collecting operating system information, sending data to a command and control (C2) server, finding files of interest, and specifically identifying cryptocurrency wallets. The rule requires all these distinct patterns to be present in a file, indicating a high confidence detection of LumarStealer.
Yara rule that detects StealC infostealer.
Yara rule that detects MultigrainPOS infostealer.
Yara rule that detects Kangaroo ransomware.
Yara rule that detects Greenp virus.
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