Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network activity associated with the JWR Phishing Framework, specifically focusing on the initiation of a WebSocket upgrade request following the delivery of a checkout-themed page load containing a 'cart_data' parameter, which is characteristic of the framework's C2 communication flow.
Detects network beaconing and command-and-control (C2) communication patterns associated with the RatHat Android malware family. The rule identifies registration, shell command check-ins, heartbeat signals, and task fetching activity over HTTP. It uses stateful inspection (flowbits) to correlate device registration with subsequent heartbeat behavior to improve detection fidelity.
Detects outbound HTTP GET requests directed towards FingerprintJS CDN services that are triggered from or referred by pages hosted on disposable platforms such as Vercel or Netlify. This pattern is commonly indicative of evasion gates or bot-fingerprinting lures used in phishing campaigns to profile victim environments before delivering secondary payloads.
Detects HTTP responses containing script content indicative of anti-analysis or anti-debugging techniques, such as timing checks, debugger detection, and proof-of-work challenges commonly used on adversary-in-the-middle (AiTM) phishing landing pages.
Detects HTTP CONNECT requests to external networks that include Proxy-Authorization headers with Basic authentication. This pattern is indicative of malicious proxy tunneling or unauthorized credential usage for bypassing security controls or establishing command and control channels via a proxy.
Detects network activity associated with the NarwhalRAT malware, specifically C2 beaconing via HTTP/DNS to known infrastructure and file downloads from staging domains.
Detects HTTP and TLS activity associated with the DSCourier malware, specifically identifying attempts to retrieve configuration files disguised as common non-executable extensions (.jpg, .txt) or utilizing non-standard network ports like 8443, which are characteristic of this threat's command and control behavior.
Detects outbound HTTP POST requests directed to 'kmot.co/board.php', which is associated with Command and Control (C2) activity from the Chinotto Python-based backdoor attributed to APT37.
Detects network traffic (HTTP, TLS, and DNS) originating from the internal network directed toward Telegram's API endpoints (api.telegram.org) and domains (t.me). This behavior is often associated with the use of the Telegram Bot API as a command-and-control (C2) channel or for data exfiltration by malware.
Detects network traffic (HTTP, TLS, and DNS) originating from the internal network directed toward Telegram's API endpoints (api.telegram.org) and domains (t.me). This behavior is often associated with the use of the Telegram Bot API as a command-and-control (C2) channel or for data exfiltration by malware.
Detects anomalous network behavior consistent with the PolinRider malware, which uses public Ethereum JSON-RPC endpoints and blockchain explorers (e.g., Etherscan.io) as a dead-drop resolver for command-and-control (C2) communication. The rules monitor for specific RPC methods (eth_getTransactionByHash, eth_call, eth_getBalance) over HTTP/TLS and DNS resolution queries to known blockchain explorer infrastructure.
Detects exfiltration of sensitive information, including Dahua camera credentials and internal identifiers, to the Telegram Bot API over HTTPS. These rules monitor for specific API endpoints (/sendPhoto) and common credential patterns (Login:, Password:, Model:) or indicators (Shodan links, VKontakte references) within HTTP POST requests directed toward api.telegram.org.
Detects HTTP POST requests directed to the URI path '/api/credentials' over the non-standard TCP port 8133, which is indicative of AMOS (Atomic macOS) Stealer exfiltrating stolen credentials to a C2 server.
Detects HTTP POST requests directed to the URI path '/api/credentials' over the non-standard TCP port 8133, which is indicative of AMOS (Atomic macOS) Stealer exfiltrating stolen credentials to a C2 server.
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.
Detects HTTP and TLS traffic patterns indicative of data exfiltration to Slack, specifically targeting hardcoded Slack API tokens, Slack channel IDs in HTTP request bodies, or traffic directed to hooks.slack.com, commonly associated with malicious npm packages.
Detects the NeedyMantis main-component handshake: an HTTP GET to port 443 with a User-Agent that is EXACTLY the hard-coded literal 'firefox/21.0' (anchored start+end) and an explicit 'Upgrade: websocket' header, marking the HTTPS-to-WebSocket protocol switch used before the RC4 key exchange. Restricting to port 443 and requiring an exact (not substring) UA match removes generic WebSocket apps and any traffic where 'firefox/21.0' merely appears inside a real, longer browser UA string.
Detects HTTP responses containing a file named 'ClaudeDesktop.exe' served from paths containing '/artifacts/' on the 'claude.ai' host where the request referrer is not 'claude.ai' or 'anthropic.com', suggesting a malvertising or supply chain delivery attempt of a malicious installer.
Detects network activity associated with the ErrTraffic malware, specifically targeting JSON-RPC 'eth_call' requests to Polygon blockchain smart contracts used for C2 resolution and subsequent DNS queries to known malicious domains used for C2 infrastructure.
Detects HTTP POST requests to SharePoint ToolPane or WebPartPage endpoints containing serialized gadget chains (e.g., ysoserial ExpandedWrapper/ObjectDataProvider or XamlServices) indicative of deserialization exploitation attempts, specifically targeting CVE-2026-65660.
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