Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
565 detections
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Detects network activity associated with the GhostCode phishing kit, including HTTP requests to specific access-prefixed subdomains and DNS lookups for those domains. Additionally, it detects HTTP responses containing specific spoofed browser tab titles often used in these phishing campaigns.
Detects network activity associated with RatHat FRP (Fast Reverse Proxy), including configuration fetching, deployment notifications, and command-and-control handshakes. These rules monitor for specific HTTP API endpoints and TCP patterns used by the tool to establish unauthorized reverse tunnels.
Detects network traffic associated with the RatHat malware family, which leverages the Gemini API to perform automated UI navigation on Android devices. The rule identifies both the outgoing prompt containing UI analysis instructions and the corresponding incoming API response containing coordinate-based navigation instructions.
Detects potential AI-targeted cloaking, a technique where a web server serves different content to AI crawlers versus human users, identified by comparing HTTP response sizes or hashes across session logs. The rule uses Microsoft Sentinel's ASIM Web Session schema to correlate web requests, identifying discrepancies that suggest malicious or evasive intent. Covers T1036 & T1027
Detects network activity associated with the GhostCode phishing campaign, which leverages themed pages (e.g., MailDashboard) and Cloudflare Turnstile to perform security bypass checks. The rules identify the initial access URI pattern, the presence of specific phishing content in the HTTP response, and the subsequent verification cookies used after the CAPTCHA solution.
These rules monitor for suspicious WordPress authentication activity, including brute force and credential spraying attacks targeting XML-RPC endpoints and the standard wp-login.php interface. The rule set includes detections for high-frequency login attempts and subsequent indicators of potential successful authentication.
Detects Browser-in-the-Browser (BitB) phishing pages by inspecting web proxy or EDR-captured page content for malicious HTML/JS structures. The rule identifies fabricated browser chrome, such as fake address bars and title bars, initialized via window.open with specific dimensions, while ensuring the serving domain is not a known, legitimate identity provider.
Detects HTTP responses containing keywords associated with ClearFake campaigns hosted on Cloudflare Workers. These pages are typically designed to trick users into downloading malicious files by displaying fake browser verification or captcha pages.
This rule detects HTTP traffic where a response from a Google Cloud Storage bucket (storage.googleapis.com) initiates a redirect via meta-refresh or JavaScript to a Vercel-hosted domain. This pattern is indicative of phishing infrastructure, where attackers leverage legitimate, trusted storage platforms to redirect users to malicious landing pages.
This rule detects HTTP traffic where a response from a Google Cloud Storage bucket (storage.googleapis.com) initiates a redirect via meta-refresh or JavaScript to a Vercel-hosted domain. This pattern is indicative of phishing infrastructure, where attackers leverage legitimate, trusted storage platforms to redirect users to malicious landing pages.
This rule detects HTTP traffic where a response from a Google Cloud Storage bucket (storage.googleapis.com) initiates a redirect via meta-refresh or JavaScript to a Vercel-hosted domain. This pattern is indicative of phishing infrastructure, where attackers leverage legitimate, trusted storage platforms to redirect users to malicious landing pages.
This rule detects HTTP traffic where a response from a Google Cloud Storage bucket (storage.googleapis.com) initiates a redirect via meta-refresh or JavaScript to a Vercel-hosted domain. This pattern is indicative of phishing infrastructure, where attackers leverage legitimate, trusted storage platforms to redirect users to malicious landing pages.
Detects the presence of injected bot-protection tracker scripts characteristic of the Macfinger (ClickFix) attack campaign within served HTML content. The rule identifies specific patterns including DNS prefetching directives, site tracking parameters, and a specific GAnalytics tracker JavaScript reference, indicating an attempt to facilitate social engineering or malicious user interaction.
Detects the presence of injected bot-protection tracker scripts characteristic of the Macfinger (ClickFix) attack campaign within served HTML content. The rule identifies specific patterns including DNS prefetching directives, site tracking parameters, and a specific GAnalytics tracker JavaScript reference, indicating an attempt to facilitate social engineering or malicious user interaction.
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
Detects network activity associated with the 'ClickFix' social engineering campaign, specifically targeting the 'Macfinger' variant. This involves detecting the fetching of obfuscated tracker JavaScripts (t.js), the delivery of deceptive 'Bot Protection' overlay HTML prompts used to trick users into executing malicious code, and network connections to known C2 infrastructure.
This rule detects network traffic originating from the RatHat Android malware, specifically identifying the 'SCROLL_DOWN' command in HTTP response bodies. This suggests the malware is receiving instructions from a C2 server to perform UI automation or interaction tasks.
Detects the initialization sequence of the ORAX command-and-control framework, characterized by a handoff via a spoofed Cloudflare verification page followed by a WebSocket upgrade request.
Detects network activity associated with the JWR Phishing-as-a-Service (PhaaS) platform. This includes the retrieval of the client-side JavaScript engine (main.js) from lookalike domains related to courier or government services, and subsequent client-side detection of the 'window.__HOST_MODE' flag, which indicates the browser has been primed for a specific phishing scenario.
These rules detect behavioral patterns associated with GhostCode-style anti-analysis, including URI-based gate redirection (turnstile checks), automated client filtering (User-Agent scanning), and UI-based spoofing (tab title masquerading) often used to protect malicious infrastructure from automated analysis tools and bots.
This rule detects network activity associated with the NovaCookies Adversary-in-the-Middle (AiTM) phishing framework, specifically looking for traffic to domains with a .vu TLD, matching a specific URI pattern used for phishing lures in HTTP requests/responses, and related DNS queries.
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