Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects file artifacts referencing InvisibleFerret, a Python-based backdoor used by WaterPlum/North Korean IT worker actors for persistent access to victim networks
Detects file artifacts referencing InvisibleFerret, a Python-based backdoor used by WaterPlum/North Korean IT worker actors for persistent access to victim networks
This rule monitors for execution of files with specific SHA256 hashes known to be malicious, and network connections to a known malicious domain associated with Vultr storage. It aggregates file creation, process execution, and network connection events to detect potential threat activity.
This rule detects the execution of specific suspicious filenames (dirtyah6, tunderflow, pppoeject, diagspill) when they are launched from common staging or temporary directories such as /tmp, /home, or /root, while excluding known build environments, package management directories, and common development workspaces.
This rule monitors endpoint network events, file operations, and process executions for known malicious indicators (domains and file hashes) associated with Kremlin activity. It detects connections to suspicious remote domains and the existence or execution of specific malicious file hashes.
This rule detects the execution of a specific batch file named 'Right-click to open Invoice Details.bat', or execution of a batch file matching a known malicious SHA256 hash associated with AsyncRAT distribution campaigns.
Detects the Kimsuky second-stage payload test.bef_fri which masquerades as an RTF file via a falsified RTF header before header repair and decompression
Detects the execution or file activity associated with the 'OrionQuests-Setup.exe' installer. This rule monitors both process creation and file system activity to track the presence and usage of this specific installer executable, which may indicate the installation of potentially unauthorized or untrusted software.
Detects the presence or execution of a specific file hash associated with a known malicious campaign (KREMLIN/REF9334) that leverages a signed SentinelOne binary. This indicates potential abuse of trusted code-signing to bypass security controls.
Detects the presence or execution of a specific file hash associated with a known malicious campaign (KREMLIN/REF9334) that leverages a signed SentinelOne binary. This indicates potential abuse of trusted code-signing to bypass security controls.
This rule monitors endpoint telemetry for known indicators of compromise associated with the Casbaneiro/Ousaban banking trojan. It identifies activity across network connections (IPs and domain patterns), DNS queries for specific C2 domains, and the presence or execution of known malicious file hashes (e.g., PDF lures, HTA, AutoIt scripts, and payload binaries).
Detects Koktevrat Android RAT APK artifacts via obfuscated component class names (JyfNnJyj, GtVyayDo) and the Stage 2 package identifier com.kowo.ciligeci
Detects Koktevrat Android RAT APK artifacts via obfuscated component class names (JyfNnJyj, GtVyayDo) and the Stage 2 package identifier com.kowo.ciligeci
Detects execution of potentially suspicious processes ('Launcher.exe' or 'GapiUpdate.exe') originating from ClickOnce-related processes ('dfsvc.exe' or 'rundll32.exe' with 'dfshim.dll'). ClickOnce is often abused to proxy execution of malicious code, allowing adversaries to execute applications from user-writable directories without administrative privileges.
Detects the presence of the known vulnerable gdrv.sys driver on disk. This driver is frequently utilized in Bring Your Own Vulnerable Driver (BYOVD) attacks to gain kernel-mode access, which is often leveraged to disable endpoint security products or escalate privileges.
Detects Settra ransomware binaries characterized by naming conventions including '_win64.exe', which create 'RESTORE_FILES.txt' ransom notes and use '.locked' or '.locked_wip' file extensions for encrypted data.
This rule detects potential malicious activity by matching endpoint file events against a known list of malicious file hashes (SHA256, SHA1, MD5) and monitoring for connections to known malicious domains or URLs.
This rule detects activities associated with the AMOS (Atomic macOS Stealer) malware family by monitoring for known malicious file hashes on endpoints and network communication with domains linked to its command-and-control infrastructure.
Detects the execution of processes named 'doxc' or 'hzwzucr_widsisa.exe', or processes matching specific file hashes, when originating from common user-writeable directories like 'ProgramData' or 'AppData'. This behavior is frequently associated with malicious payloads executing in non-standard or user-specific locations to achieve persistence or evasion.
Detects known PowerShell dropper and embedded StealC payload binaries used in the ClickFix infection chain via exact SHA256 hash equality only
Detects StealC-related .NET payload protected with ConfuserEx, requiring the sample-specific mutex string, AES key material, and multiple anti-debugging indicators together to avoid matching benign ConfuserEx-obfuscated applications
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