Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential phishing or HTML smuggling attempts by identifying a burst of anomalously large SVG file attachments delivered via email to multiple recipients, followed by a correlation with web browser process network activity from the same recipients shortly after the email delivery.
Detects AI agent tooling (e.g., Copilot, Cursor, Ollama) that makes outbound network calls to known AI model providers followed by the execution of suspicious shell commands within a short duration. The rule flags high-severity activities such as download-cradles, credential reconnaissance, LOLBin usage, and persistence mechanisms. Informational alerts are generated for standard CLI activity within the same timeframe.
Detects the execution of known NTLM Certificate Enrollment Service (CES) relay tools alongside subsequent outbound network connections to Active Directory Certificate Services (AD CS) CES enrollment endpoints. This behavioral pattern indicates an adversary attempting to relay NTLM authentication to an AD CS server to request a certificate, typically for privilege escalation or persistence.
This rule monitors network, file, and process telemetry for matches against a predefined list of malicious IP addresses, domain names, and file hashes. It flags suspicious network connections to known C2 infrastructure and the presence or execution of known malicious files based on SHA256 and SHA1 indicators.
This rule correlates multiple telemetry sources (File Events, Certificate Info, Network Events, and DNS Events) to detect known malicious indicators, including specific file hashes, IP addresses, domains, and URLs associated with malicious activity.
This rule detects network traffic patterns indicative of the Lumma Stealer 'ClickFix' phishing campaign. It identifies outbound requests to suspicious domains ending in .cyou utilizing specific user agents (WinHttp or Microsoft BITS), which are characteristic of malicious PowerShell scripts attempting to retrieve secondary payloads.
This rule detects potential malicious activity by matching file hashes against a known list of malicious indicators and monitoring for suspicious network connections. The network monitoring includes connections to hardcoded malicious IP addresses, specific C2 URLs, and DNS queries for known fallback domains used in malicious infrastructure when the initiating process is not a recognized web browser or wallet application.
Detects the installation of a potential remote monitoring and management (RMM) agent via common tools like msiexec, nssm, or sc.exe, followed by consistent HTTPS beaconing to domains hosted on Azurewebsites.net. This pattern is indicative of unauthorized remote access tools used for command and control.
This rule detects network connections originating from hosts to specific remote domains ('codeonicinc.com', 'setupsoftwarecenter.com') which are associated with OpenSUpdater command and control (C2) activity. It leverages Microsoft Defender DeviceNetworkEvents to identify endpoints communicating with these known malicious infrastructure components.
This rule detects outbound network connections originating from managed devices where the remote URL or domain matches known underground LLM-based services, such as WormGPT, FraudGPT, or EvilGPT, which are often used by threat actors for malicious activities like generating phishing content or malware.
This rule detects network connections from internal devices to a specific remote IP address (134.122.155.135) over port 443. This is characteristic of communication with a known or suspicious Command and Control (C2) server.
Detects the VelvetCake malware installation and operational pattern, which utilizes a scheduled task named 'OneDriveUpdateScheduler' to execute PowerShell scripts ('update1.ps1' or 'update2.ps1'). These scripts periodically retrieve modules or payloads from external infrastructure, specifically hardcoded C2 IPs or a dedicated GitHub repository.
This rule detects network traffic patterns associated with the ARToken PhaaS backend infrastructure. It identifies specific fixed URI paths and cross-affiliate API route contracts used by the backend service, as well as known indicators of compromise for affiliate infrastructure, to monitor for potential credential harvesting or adversary-controlled service interaction.
This rule monitors DeviceNetworkEvents for any outbound network connections to a specific list of known malicious domains. The rule identifies potential command and control (C2) communication by matching remote URLs against a hardcoded set of domains associated with known threats.
Detects instances where a command-line utility or scripting interpreter references a 'SKILL.md' configuration file, typically associated with agent-skill payloads, followed shortly by network-based file download activity. This behavior is indicative of a secondary payload retrieval triggered by an adversary-controlled or poisoned configuration file.
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.
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 suspicious combination of PowerShell scripts executing download commands (Invoke-WebRequest, etc.) while initiated by scripting hosts (wscript.exe, cscript.exe), followed by activity associated with remote support tools (LogMeIn, ConnectWise, etc.). It also identifies network connections associated with these remote management platforms, suggesting potential unauthorized remote access or tool staging.
This rule performs a retrospective hunt for indicators of compromise (IOCs) associated with the ClosedQuorum malware. It identifies suspicious activity by matching against known file hashes, specific filenames, and network traffic directed towards services (such as DeepSeek, OpenRouter, Mistral, and Discord) which the malware uses for C2 or data exfiltration. The detection logic aggregates results from file system, process, and network telemetry.
This rule monitors for execution of suspicious files or processes and network communication associated with known malicious indicators (hashes, domains, and IP addresses) typically used by specific threat actors for command and control (C2) and payload delivery.
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