Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects high-volume, systematic querying of LLM inference endpoints, which may indicate unauthorized model extraction, distillation attempts, or targeted data exfiltration from an LLM.
This rule detects potential prompt injection attacks against internal AI-powered assistants, agents, or LLM gateways. It monitors network HTTP requests for common patterns used to override system instructions, bypass safety filters, or force the model to adopt a privileged, unauthorized persona (e.g., administrator or debug mode). These techniques are often used in social engineering to manipulate the AI's output or security posture.
Detects high-volume, systematic querying of LLM inference endpoints, which may indicate unauthorized model extraction, distillation attempts, or targeted data exfiltration from an LLM.
Detects high-frequency authentication attempts originating from user agents associated with automation frameworks (Selenium, Playwright, Puppeteer, etc.). This pattern is often indicative of automated credential stuffing, brute force attacks, or CAPTCHA/2FA bypass attempts orchestrated by headless browsers.
Detects HTTP requests to popular LLM API services (OpenAI, Anthropic, Google, Cohere) containing common jailbreak or role-play patterns. These patterns attempt to bypass safety guardrails by using techniques such as persona-switching (e.g., 'DAN'), hypothetical scenario framing, or unauthorized security testing pretexts.
Detects Sauron Loader C2 registration/polling: an HTTPS POST whose URI path matches the malware's exact <prefix>/v<1-9>/<action><Resource> structure (action = set|get; resource = one of the 10 known config/task resource names) combined with the malware's hardcoded Windows-10 Edge/Chrome 143 user agent. Narrowing the URI regex from a generic '/api/v1/anything' wildcard to the exact action+resource vocabulary eliminates matches against ordinary versioned REST API traffic, which was the dominant false-positive source.
Detects Sauron Loader C2 registration/polling: an HTTPS POST whose URI path matches the malware's exact <prefix>/v<1-9>/<action><Resource> structure (action = set|get; resource = one of the 10 known config/task resource names) combined with the malware's hardcoded Windows-10 Edge/Chrome 143 user agent. Narrowing the URI regex from a generic '/api/v1/anything' wildcard to the exact action+resource vocabulary eliminates matches against ordinary versioned REST API traffic, which was the dominant false-positive source.
Detects Sauron Loader C2 registration/polling: an HTTPS POST whose URI path matches the malware's exact <prefix>/v<1-9>/<action><Resource> structure (action = set|get; resource = one of the 10 known config/task resource names) combined with the malware's hardcoded Windows-10 Edge/Chrome 143 user agent. Narrowing the URI regex from a generic '/api/v1/anything' wildcard to the exact action+resource vocabulary eliminates matches against ordinary versioned REST API traffic, which was the dominant false-positive source.
Detects Sauron Loader C2 registration/polling: an HTTPS POST whose URI path matches the malware's exact <prefix>/v<1-9>/<action><Resource> structure (action = set|get; resource = one of the 10 known config/task resource names) combined with the malware's hardcoded Windows-10 Edge/Chrome 143 user agent. Narrowing the URI regex from a generic '/api/v1/anything' wildcard to the exact action+resource vocabulary eliminates matches against ordinary versioned REST API traffic, which was the dominant false-positive source.
Detects an attempt to exploit CVE-2026-24858 in FortiCloud SSO by sending a crafted SAML authentication request that lacks a signature. This vulnerability allows an attacker to bypass authentication by providing an unsigned SAML response.
This rule detects attempts to exploit CVE-2021-33044, a vulnerability in Dahua hardware that allows an attacker to bypass authentication by sending a specially crafted request to the global.login endpoint.
Detects network traffic associated with the SloppyRAT backdoor, which utilizes a reverse SOCKS proxy mechanism. The rule identifies specific HTTP GET/POST heartbeats and command responses to the '/api/poll' and '/api/proxy/ack' endpoints commonly used for C2 operations.
This rule set detects web traffic associated with 'GhostCode' phishing campaigns. These campaigns utilize Cloudflare Turnstile verification gates on non-Cloudflare domains, specific phishing page titles, and session cookies ('turnstile_verified', 'cf_clearance') to facilitate device code phishing or credential harvesting activities.
Detects outbound HTTP requests from endpoints to a known C2 infrastructure associated with mobile device spyware. The rule identifies two specific stages: polling for new commands using a GET request and posting command execution results using a POST request, both targeting an MDM-mimicking API structure.
Detects cleartext HTTP POST requests to specific URI endpoints (/api/v1/devices/register or /api/v1/devices/heartbeat) known to be used by the Corp_MDM Android spyware for C2 communication, registration, or heartbeat signals.
Detects cleartext HTTP POST requests to specific URI endpoints (/api/v1/devices/register or /api/v1/devices/heartbeat) known to be used by the Corp_MDM Android spyware for C2 communication, registration, or heartbeat signals.
This rule monitors for outbound TCP and HTTP traffic to a known malicious infrastructure hosting a fake or compromised 'Corp MDM' (Mobile Device Management) admin panel, which serves as a Command and Control (C2) channel for spyware.
Detects network traffic patterns indicative of unauthorized or malicious APK sideloading attempts, specifically targeting fake Google Play delivery mechanisms, lure domains, and known command-and-control (C2) infrastructure.
Detects network traffic patterns indicative of unauthorized or malicious APK sideloading attempts, specifically targeting fake Google Play delivery mechanisms, lure domains, and known command-and-control (C2) infrastructure.
Detects network traffic patterns indicative of unauthorized or malicious APK sideloading attempts, specifically targeting fake Google Play delivery mechanisms, lure domains, and known command-and-control (C2) infrastructure.
Detects network traffic patterns indicative of unauthorized or malicious APK sideloading attempts, specifically targeting fake Google Play delivery mechanisms, lure domains, and known command-and-control (C2) infrastructure.
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