Arnold Chan
@slazTrusted contributorCompletionist
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This rule detects potential ransomware activity by correlating three distinct indicators: deletion of Volume Shadow Copies (using native Windows utilities), mass file modifications (>100 files in 15 minutes), and the creation or modification of files typically associated with ransom notes. The rule uses an inner join to ensure these events happen within a 30-minute window of each other on the same device.
This rule detects potential ransomware activity by correlating three distinct indicators: deletion of Volume Shadow Copies (using native Windows utilities), mass file modifications (>100 files in 15 minutes), and the creation or modification of files typically associated with ransom notes. The rule uses an inner join to ensure these events happen within a 30-minute window of each other on the same device.
Detects instances where the outbound byte count to external (non-private) IP addresses for a source host significantly exceeds its historical hourly baseline. This detection is designed to identify potential data exfiltration stages occurring after system or network compromise.
Detects instances where the outbound byte count to external (non-private) IP addresses for a source host significantly exceeds its historical hourly baseline. This detection is designed to identify potential data exfiltration stages occurring after system or network compromise.
Detects the silent installation of remote monitoring and management (RMM) software using 'msiexec.exe' initiated by scripting engines (powershell.exe, wscript.exe, or cscript.exe). The rule targets installations occurring in user-writable directories, such as Temp or Downloads, which are common staging locations for malicious droppers, while excluding known legitimate software deployment paths.
This rule detects network connections or process command lines associated with known malicious domains, IP addresses, or payload URLs. Additionally, it correlates connections to common public file-sharing platforms or APIs (e.g., Gofile, Telegram) if these events occur on the same device within a 60-minute window of a confirmed malicious infrastructure event, reducing false positives from legitimate uses of shared infrastructure.
Detects the creation or modification of crontab files, as well as the execution of crontab commands, that involve suspicious paths (e.g., /tmp, /var/tmp, /dev/shm, hidden files) or command obfuscation techniques such as base64 encoding. This behavior is often associated with the establishment of persistence by adversaries.
Detects a suspicious sequence of events involving the execution of 'setup.sh', the subsequent creation of a hidden file in temporary directories, and the deletion of specific architecture-named files (redtail.*). This behavior is indicative of a malware loader or droppers attempting to install and then remove traces of its components.
Detects the execution of 'bun' during a Node.js package installation process (npm or node). This behavior can be indicative of a supply chain attack where malicious actors attempt to leverage alternative runtimes during the 'preinstall' phase or package installation to execute arbitrary code or bypass security controls typically associated with standard Node.js installations.
Detects anomalous SSH sessions originating from potentially suspicious IP addresses that utilize an 'SSH-2.0-Go' banner and immediately perform file creation operations associated with the RedTail botnet (e.g., shell scripts or architecture-specific binaries).
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