Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,063 detections
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Detects instances of common interpreter processes, specifically node.exe or python variants, accessing known cryptocurrency wallet files or mnemonic storage files on a Windows system. This behavior is highly indicative of malicious activity where an attacker uses lightweight script-based tools to perform credential harvesting or theft of cryptocurrency assets.
Detects the deletion of Volume Shadow Copies using the Windows Management Instrumentation Command-line (WMIC) utility. This behavior is commonly observed in ransomware attacks, including those attributed to DragonForce and CRPx0, as a method to inhibit system recovery prior to file encryption.
This rule monitors for coordinated persistence efforts by detecting the occurrence of at least two out of three specific persistence techniques (registry run key modification, scheduled task creation, or WMI-based script execution) on the same device within a 30-minute window. It explicitly filters out activities from signed binaries or those occurring in standard system/application directories, focusing on potentially malicious artifacts originating from user-writable locations.
Detects potential process injection attempts (e.g., Early Bird APC injection or process hollowing) where a process is spawned in a suspended state, followed shortly by a remote-thread or QueueUserAPC injection primitive targeting that same process. The rule correlates process creation events with subsequent API calls while excluding known legitimate patterns like .NET runtime operations, system updaters, and EDR/AV security components.
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 lateral movement (SMB, RDP, WinRM) performed by a host within 5 minutes of communicating with specific commercial LLM APIs. This rule targets behaviors indicative of automated lateral movement driven by an LLM-based C2, excluding common administrative tools, standard business hours, and frequently used processes.
Detects lateral movement (SMB, RDP, WinRM) performed by a host within 5 minutes of communicating with specific commercial LLM APIs. This rule targets behaviors indicative of automated lateral movement driven by an LLM-based C2, excluding common administrative tools, standard business hours, and frequently used processes.
Detects lateral movement (SMB, RDP, WinRM) performed by a host within 5 minutes of communicating with specific commercial LLM APIs. This rule targets behaviors indicative of automated lateral movement driven by an LLM-based C2, excluding common administrative tools, standard business hours, and frequently used processes.
Detects lateral movement (SMB, RDP, WinRM) performed by a host within 5 minutes of communicating with specific commercial LLM APIs. This rule targets behaviors indicative of automated lateral movement driven by an LLM-based C2, excluding common administrative tools, standard business hours, and frequently used processes.
Detects the execution of multiple distinct host reconnaissance commands (e.g., systeminfo, whoami, ipconfig, AV/EDR checks, and domain enumeration) within a short window (10 minutes) originating from the same parent process. This pattern is characteristic of automated reconnaissance collection, often performed during the initial phases of an attack or as part of a C2 workflow. The rule includes exclusions for common administrative, monitoring, and RMM tools to reduce false positives.
Detects the execution of multiple distinct host reconnaissance commands (e.g., systeminfo, whoami, ipconfig, AV/EDR checks, and domain enumeration) within a short window (10 minutes) originating from the same parent process. This pattern is characteristic of automated reconnaissance collection, often performed during the initial phases of an attack or as part of a C2 workflow. The rule includes exclusions for common administrative, monitoring, and RMM tools to reduce false positives.
Detects instances where a non-browser process initiates connections to commercial LLM provider APIs (DeepSeek, OpenRouter, Mistral) followed by a connection to Discord CDN/Webhook endpoints within a 15-minute window. This behavior is indicative of a process acting as an autonomous C2 agent that exfiltrates data after receiving instructions or processing information via an LLM.
Detects a non-browser process initiating network connections to four distinct commercial LLM API providers (DeepSeek, OpenRouter, Mistral, and Google Gemini) within a 5-minute interval. This behavior is indicative of a C2 pattern where an adversary uses multiple LLM backends to perform plurality-vote or redundant queries, bypassing typical browser-based AI aggregation services.
Detects a non-browser process initiating network connections to four distinct commercial LLM API providers (DeepSeek, OpenRouter, Mistral, and Google Gemini) within a 5-minute interval. This behavior is indicative of a C2 pattern where an adversary uses multiple LLM backends to perform plurality-vote or redundant queries, bypassing typical browser-based AI aggregation services.
Detects the GHAPPIER four-stage malware loader, specifically targeting npm-based JavaScript files. The rule identifies malicious activity through specific artifacts including hardcoded C2 URLs (vercel.app domains), campaign markers, file paths, and eval-based execution patterns.
Detects the deletion of 'loader.js' from the '%APPDATA%\VSCODE\' directory. This activity is consistent with the initial execution phase of GHAPPIER RAT, where the implant removes its dropper file to avoid detection and hinder forensic analysis.
Detects the creation of the file 'nb_hook_dbg.txt' within 'C:\Windows\Temp\', which is a specific debug artifact generated by the PIVOTPIPE loader during the initialization of its HookGate subsystem. This subsystem is responsible for implementing indirect system calls to bypass user-mode EDR hooks by decoding syscall numbers at runtime and utilizing the WoW64 transition.
This rule detects potential credential theft by correlating access to local git credential files (e.g., .git-credentials, .netrc) followed by a git push event from the same user account within 24 hours. The rule flags these pushes if they originate from an unrecognized host or an IP address outside of the trusted internal network range.
Detects hosts exhibiting multiple distinct file-manipulation commands (upload, download, stop, delete, append, copy, move) within a single session as identified by the PivotPipe C2 protocol, indicating potential staging, collection, or exfiltration activity.
Detects the execution of PowerShell with suspicious command-line arguments (hidden window, no profile, or encoded commands) spawned directly from a web browser process (e.g., Chrome, Edge, Firefox, Explorer). This behavior is characteristic of ClickFix-style social engineering attacks where a user is tricked into copying and executing malicious PowerShell commands via the Win+R Run dialog or terminal.
Detects unauthorized attempts to modify or patch the AmsiScanBuffer function within amsi.dll in a remote process. This behavior is indicative of an AMSI bypass attempt, a technique often used by malicious loaders and fileless malware to evade security product scanning.
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