Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network beaconing activity attributed to the OceanLotus (APT32) threat group, specifically the SPECTRALVIPER C2 mechanism. The rule identifies the 'OneDrive.Sync.Services.exe' process performing HTTP GET requests to known attacker-controlled infrastructure or using specific malicious cookie headers (zd_cs_pm, euconsent-v2) for command-and-control communication.
Detects the SPECTRALVIPER downloader component characteristic of OceanLotus activity. The rule monitors for a specific HTTP POST request to a check-in URL, followed by the execution of IntelAudioService.exe with command-line arguments indicating a side-loading attack chain from the appmodel StateRepository.
Detects potential exploitation of unauthenticated ServiceNow Scripted REST Resources by identifying a pattern where external IP addresses first receive 4xx (authentication required) responses when querying /api/ paths, followed by 200 OK responses for the same paths, indicating a successful authentication bypass.
Detects path traversal injection attempts within the 'url' parameter targeting GitHub repository URLs. The rule inspects web request query parameters for various path traversal techniques, including standard dots, URL-encoded patterns, double-encoding, null-byte injections, and common file path indicators like '/etc/passwd' or '/proc/self/environ'.
Identifies AstarionRAT establishing HTTP POST connections to transmit the compressed archive containing the stolen browser and keylogger data. This rule correlates network HTTP POST requests with the creation of zip files by the same process, indicating potential data exfiltration.
Detects access to sensitive GCP credential-related files or the presence of credential-related environment variables/secrets in command lines and network request bodies. This pattern is often associated with the theft of service account keys or environment-based cloud credentials, frequently seen in serverless or containerized environments.
Detects path traversal attempts within HTTP request parameters, specifically identifying encoded traversal sequences, file protocol usage, and attempts to access sensitive system files like /etc/passwd or /proc/self/environ.
This rule detects web browser processes (Chrome, Edge, Brave, Electron) making network requests to 'raw.githubusercontent.com' that contain keywords indicative of sensitive data, such as 'credential', 'secret', 'password', 'token', 'api_key', or '.env'. This behavior may indicate an adversary attempting to download configuration files or sensitive credentials hosted on GitHub.
This rule detects web browser processes (Chrome, Edge, Brave, Electron) making network requests to 'raw.githubusercontent.com' that contain keywords indicative of sensitive data, such as 'credential', 'secret', 'password', 'token', 'api_key', or '.env'. This behavior may indicate an adversary attempting to download configuration files or sensitive credentials hosted on GitHub.
Detects communication between a macOS host and the Telegram Bot API using the 'getUpdates' method. This behavior is indicative of the 'Gaslight' malware family using Telegram as a command-and-control (C2) channel via polling, typically characterized by repeated HTTP requests to 'api.telegram.org'.
Detects bulk reconnaissance against multiple Microsoft Graph API endpoints (users, groups, roles, etc.) by scripting clients, correlated with a recent device registration event by the same user principal. This behavior is indicative of a Storm-2372 conditional access bypass strategy followed by rapid directory environment enumeration.
Detects path traversal attempts in web server access logs by searching for dot-dot-slash (../), dot-dot-backslash (..\), or their URL-encoded equivalents (..). These patterns are indicative of efforts to access files or directories outside the intended web root.
Detects high-frequency requests to sensitive management or API-related URL paths (/msp/, /api/, /wyse/, /wms/) that are not preceded by successful authentication attempts. This pattern is characteristic of automated exploitation attempts or unauthorized discovery against network management or configuration interfaces from external IP addresses.
This rule identifies network connections (DNS queries, HTTPS/WebSocket traffic) directed toward known suspicious domains associated with potentially malicious C2 infrastructure.
This rule detects HTTP POST requests containing the specific string 'GEMINI_TRUST_WORKSPACE', which is associated with environment variable injection attacks targeting CI/CD pipeline configurations.
Detects attempts to exploit CVE-2026-12537 in the Google Gemini CLI, which allows for unauthorized manipulation of the .gemini/.env configuration file. The rule triggers on GET or POST requests attempting to access or modify this specific environment file, potentially enabling malicious environment variable injection.
This rule detects potential Remote Code Execution (RCE) exploitation attempts targeting Dell Wyse Management Suite (WMS) by identifying abnormally large POST requests containing JSON payloads directed at specific management paths (/WMS/ or /wyse/). This behavior is indicative of an exploit attempt against CVE-2026-41120.
Detects HTTP traffic attempting to upgrade a connection to a WebSocket protocol directed towards the known Turla-associated command-and-control infrastructure 'driverx86-adobe.onrender.com'. This pattern is characteristic of the STOCKBROKER component within the STOCKSTAY malware framework, observed in recent phishing campaigns.
Detects anomalous HTTP GET requests targeting the ClawHub API for 'skills' that match known patterns of malicious file downloads, specifically identifying poc.py scripts or skill.md files which are indicative of the ClawHavoc campaign activity.
This rule detects attempts to access sensitive .env configuration files in Gemini CLI applications, which may indicate an attempt to exploit CVE-2026-12537. Attackers target these files to retrieve credentials or environment variables that could lead to Remote Code Execution (RCE) within CI/CD pipelines or deployment environments.
This rule detects attempts to perform Large Language Model (LLM) prompt injection via HTTP requests. It monitors proxy traffic for common jailbreaking or adversarial instruction patterns such as 'ignore previous instructions', 'bypass restrictions', or 'fictional environment' within URI parameters or request bodies. Such patterns are indicative of an attacker attempting to manipulate the behavior of an AI/LLM application.
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