Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects malicious scheduled task creation using names associated with Microsoft Edge updates, or the execution of PowerShell commands that utilize encoded arguments and known APT36 download cradles, indicating an attempt to establish persistence or retrieve secondary payloads.
This rule detects potential lateral movement activity involving the use of the 'net use' command to connect to remote IPC$ shares or administrative tools like 'Test-NetConnection' to probe for SMB and RPC ports (445/135). Such techniques are often used by threat actors like APT36 to verify network connectivity and establish authenticated sessions for lateral movement.
Detects the creation of files with the name 'README_KRSID.Txt', which is a hallmark behavior of the KRSID ransomware strain used to leave ransom notes on compromised systems.
Detects the execution of command-line operations that involve the deletion of shortcut (.lnk) files or the self-deletion of batch scripts, often used by malware or malicious scripts to minimize their footprint and remove evidence after execution.
Detects the creation of specific file paths and files associated with the PSNATCH file stealer tool, specifically monitoring for the presence of SmartUploader application directories and its associated upload index files. This behavior is indicative of an adversary staging collected data on a local system for subsequent exfiltration.
Detects instances where Windows Explorer (explorer.exe) spawns cmd.exe or wscript.exe to execute batch files (.bat) or scripts with specific filenames. This behavior is often associated with malicious user activity, such as executing payloads disguised as innocuous files triggered via shell interactions.
This rule detects the execution of 'DriverInstaller.exe' (either by filename or a known malicious SHA256 hash) that subsequently initiates network connections to GitHub domains. This behavior is indicative of potential malicious activity, such as downloading secondary payloads, command-and-control communication, or beaconing from a suspected rogue or masquerading driver installation utility.
Detects the creation of scheduled tasks using either 'schtasks.exe' or 'powershell.exe' (Register-ScheduledTask) where the task name or configuration references common update or startup task patterns, or contains indicators of potential process hiding or encoded command execution.
Detects evidence of PSNATCH or BASHNATCH tools exfiltrating data to GitHub. The rule identifies suspicious file operations related to an 'SmartUploader' tracking file in standard user directories (AppData, .local/share), monitors for SmartUploader process execution, and flags network connections to api.github.com from processes identified as SmartUploader, bash, or PowerShell.
Detects potential C2 activity associated with MQTTDoor or MatrixDoor malware by monitoring suspicious network traffic patterns. This includes unauthorized processes connecting to MQTT brokers (hivemq.com), non-chat applications interacting with a Matrix homeserver, and geo-location lookups (ip-api.com) occurring shortly after process execution.
Detects the ClosedQuorum 'unhook' evasion technique where a process patches ntdll's EtwEventWrite to suppress ETW telemetry, occurring within a 5-minute window of the same process initiating outbound network connections to known LLM C2 provider APIs or Discord webhooks used for AI-arbitrated decision cycles.
Detects the ClosedQuorum 'unhook' evasion technique where a process patches ntdll's EtwEventWrite to suppress ETW telemetry, occurring within a 5-minute window of the same process initiating outbound network connections to known LLM C2 provider APIs or Discord webhooks used for AI-arbitrated decision cycles.
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
Detects a specific attack chain attributed to ClosedQuorum, involving LSASS memory dumping, subsequent access to browser-based credential stores or cryptocurrency wallet files, and finally staging the stolen data in C:\Windows\Temp\ within a short time window.
This rule detects PowerShell processes executing with hidden window styles while performing web-based download operations from GitHub domains. It further identifies potential nested PowerShell execution, which is often used in obfuscated download-and-execute attack chains.
Detects the execution of the 'sckit' Go implant, a malicious binary associated with trojanized '@memtensor/memos-cloud-openclaw-plugin' or 'MemoryOS' packages. The rule identifies instances where this binary is spawned as a child process of a language runtime (Node.js or Python) when the execution originates from specific directory paths associated with these packages, or when the parent process command line indicates these packages are being initialized.
Detects a multi-stage infection chain involving communication with known malicious infrastructure ('mnoskemp.beer'), staging and extraction of password-protected archives using '7za.exe' in temporary directories, installation of a spoofed OBS Studio MSI package, and subsequent DLL side-loading of malicious libraries (e.g., 'obs.dll', 'WSql-2.dll') by the 'obs64.exe' process when initiated from outside legitimate installation paths.
Detects the creation of a Volume Shadow Copy followed by an attempt to access or copy the Active Directory database file (ntds.dit) from the shadow copy. This pattern is commonly used by adversaries to perform offline credential dumping.
Detects network communication with known malicious domains and IP addresses, as well as the presence of known malicious file hashes on the system. The rule correlates network connection events, file creation events, and process creation events against predefined lists of C2 infrastructure and malware indicators.
This rule monitors for outbound network connections to domains and IP addresses associated with known phishing, loader, and C2 infrastructure, including specific ClickFix patterns.
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