Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the presence of the known vulnerable GIGABYTE driver (gdrv.sys) used in Bring Your Own Vulnerable Driver (BYOVD) attacks to bypass security controls and facilitate kernel-mode execution, as associated with Settra ransomware campaigns.
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
This rule monitors endpoint telemetry for occurrences of known malicious file hashes, C2 IP addresses, and C2 domains. It aggregates file creation/modification events, process execution, and network connections to detect activity associated with known malicious entities.
This rule detects the presence, installation, or execution attempts of the known vulnerable GIGABYTE driver (gdrv.sys). Monitoring for this specific driver is a common practice to identify attempts to perform 'Bring Your Own Vulnerable Driver' (BYOVD) attacks, which can be used for kernel-mode code execution and privilege escalation.
This rule detects the use of specific tools associated with credential dumping and memory forensics, including Dokan driver installations for file system mounting, the use of DumpIt for creating memory dumps, and the subsequent analysis of these dumps using MemProcFS to access sensitive process memory information such as LSASS minidumps.
This query identifies sensitivity-labeled files sent as email attachments to external recipients. The results provide details including the sender, recipient, file name, file path, and device where the file was observed.
This rule detects email activity involving DocuSign-themed messages that contain attachments and also coincide with URL click events that redirect users to Microsoft-related login portals (e.g., login.microsoftonline.com or teams.microsoft.com) containing 'redirect' or 'redirect_uri' parameters. This behavior is indicative of a phishing attempt designed to capture credentials or perform OAuth consent phishing by mimicking legitimate document-signing workflows.
Detects a Parallels appliance tar archive containing a directory entry name with an embedded double-quote character followed by the --use-compress-program flag, characteristic of the ParaShells (CVE-2026-90894) tar argument-injection payload
Detects a Parallels appliance tar archive containing a directory entry name with an embedded double-quote character followed by the --use-compress-program flag, characteristic of the ParaShells (CVE-2026-90894) tar argument-injection payload
Detects instances where the Parallels dispatcher service (prl_disp_service) is invoked to install an appliance using a local 'file:///tmp/' URL instead of a trusted remote catalog source, which may indicate an attempt to load unauthorized or malicious virtual appliance files.
Detects instances where the Parallels dispatcher service (prl_disp_service) is invoked to install an appliance using a local 'file:///tmp/' URL instead of a trusted remote catalog source, which may indicate an attempt to load unauthorized or malicious virtual appliance files.
Detects high-frequency file creation, opening, or modification events within the Windows AppData Local Temp directory. This behavior, often involving specific obfuscated file names or known malicious process names, is a common indicator of malware payload staging or execution patterns, such as those observed in AsyncRAT infections.
This rule detects activity matching known indicators of compromise (IOCs) associated with recent Russian espionage campaigns, including malicious domains, IP addresses, email senders, file names, and file hashes. It monitors network, sign-in, email, process, and file events across enterprise systems.
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
Detects indicators of compromise related to the TraderTraitor (KelpDAO) threat actor, including specific file hashes, malicious process paths, C2 network infrastructure (IPs and domains), and malicious TLS certificates. The rule uses filename-path matching to reduce noise from legitimate macOS binaries.
This rule monitors for the presence of files matching a known list of malicious SHA256 hashes on devices. It correlates these file events with process creation events occurring on the same device within a 10-minute window, identifying potential execution of malicious binaries or artifacts.
Detects anomalous mass file enumeration, creation, deletion, and renaming activity within common system or temporary directories, indicative of the MovieReaper stage-4 file manager module. The rule monitors for the execution of command-line utilities (cmd.exe, powershell.exe) with specific file management arguments followed by a high volume of file system operations within a 5-minute window.
This rule monitors for network connections to known malicious domains and IP addresses, as well as the presence or execution of files with specific SHA256 hashes known to be associated with threat activity. The indicators focus on Vercel-hosted domains and specific file hashes linked to recent campaign activity.
Detects modifications or creation of the VS Code 'settings.json' file within a '.vscode' folder where the configuration includes 'workbench.startupEditor' and 'readme'. This pattern is frequently used in malicious extensions or malicious repository configurations to trick users into opening a malicious README file upon starting the editor, potentially leading to further compromise.
Detects the installation of Visual Studio Code extensions via the command line interface using the Code.exe process. Adversaries may abuse VS Code extensions to achieve code execution or persistence by installing malicious .vsix files.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
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