Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects inbound HTTP POST requests to the /paypal/transparent/response/ endpoint containing encoded PHP webshell payloads, specifically attempting to execute base64-decoded code via eval.
Detects malicious traffic directed towards unpkg.com associated with the 'Beamglea' campaign. The rule specifically monitors for connections to known malicious npm-mirrored packages or pages serving fake Cloudflare CAPTCHA challenges, which are common tactics for credential theft and browser-based exploitation.
Detects network requests originating from the Netch gateway tool or similar environments, attempting to fetch auto-configuration profiles for Shadowsocks from the external domain 'www.sheng886.top' using the '/api/v1/internal/shadowsocks/auto-config' endpoint. The rule specifically matches the Go-http-client user agent, which is common in automated scripts and Go-based proxy tools.
Detects an HTTP POST request targeting the host 'tt.yeyoujs.com' at the URI path '/api/agent/enroll', containing a specific Python aiohttp User-Agent string. This pattern is characteristic of a C2 agent attempting to register or enroll with an external command-and-control server.
This rule detects inbound HTTP GET requests to a specific IP address (103.86.86.244) requesting a file named 'deploy.ps1'. This behavior is characteristic of adversaries using PowerShell one-liners (cradles) like 'irm' (Invoke-RestMethod) or 'iex' (Invoke-Expression) to fetch and execute malicious scripts directly from a remote C2 infrastructure.
Detects unauthenticated attempts to invoke Grafana API tools via the Model Context Protocol (MCP) by utilizing spoofed Mcp-Session-Id headers while bypassing bearer token authentication requirements. This primarily targets unauthorized access to API functionality on Grafana instances configured with bearer-token authentication (v1.1.0+).
This rule detects an unauthenticated exploitation attempt against Magento GraphQL endpoints, specifically targeting the 'styles' parameter. The attack pattern involves sending a malformed request to the /graphql endpoint with an 'X-TRACE-' header, which is indicative of the StyleSmuggler vulnerability exploit.
This rule detects command and control (C2) communication patterns utilized by the GoCaracal malware family, specifically its fallback mechanism which leverages Ethereum blockchain RPC calls (eth_getStorageAt) to interact with known malicious smart contracts or wallet addresses.
Detects anomalous OAuth redirection chains initiated from login.microsoftonline.com or accounts.google.com that target infrastructure identified as malicious .vu domains. This pattern is indicative of a consent-phishing campaign attempting to redirect users to malicious infrastructure.
This rule monitors for HTTP traffic directed at .vu TLD domains, which contain the specific Cloudflare 'Just a moment' browser-check page. This pattern is characteristic of the NovaCookies Phishing-as-a-Service (PhaaS) platform, which uses such gates to prevent automated analysis and security scanners from accessing the final phishing page.
Detects outbound HTTP POST requests characterized by an 'application/octet-stream' content type, a specific URI structure consisting of three components (20-40 characters, alpha-numeric, 20-40 characters), and an encrypted payload. This behavioral pattern is associated with SynkLoader malware command-and-control (C2) communications.
Detects HTTP traffic directed to known abused web hosting platforms and SaaS site builders frequently used by the BengalSEO campaign to host search engine optimization (SEO) poisoning lures. These lures typically mimic service activation or support pages to trick users into downloading malicious content.
Detects network traffic associated with the BengalSEO campaign, specifically the retrieval of a rogue Matomo analytics script from 'stats.us3.org' and the presence of a specific Google Tag Manager ID (G-5Y9CZZF6WJ) in file traffic. This behavior is indicative of a supply chain or SEO poisoning attack aiming to track or redirect users.
Detects network traffic consistent with the ClickFix macOS loader, specifically identifying POST requests containing 'event=pasted' and a 'BuildID' header, which are indicative of a beaconing or telemetry heartbeat.
Detects network activity associated with the NovaCookies phishing campaign, specifically identifying HTTP redirects, TLS SNI connections, or HTTP host headers pointing to infrastructure utilizing .vu top-level domains.
This rule detects patterns characteristic of the ClearFake/EtherHiding campaign, specifically identifying the injection of malicious JavaScript within HTTP responses. The rule monitors for the creation of a script element and the use of base64-encoded javascript content, which is a known technique used in these attacks to facilitate drive-by compromises.
Detects Microsoft-branded phishing pages served from non-Microsoft domains, the subsequent credential submission, and the establishment of a WebSocket relay connection characteristic of the Mirage2FA Adversary-in-the-Middle (AiTM) toolkit. This rule correlates multiple stages of the phishing flow to identify active proxy-based credential and MFA bypass attempts.
Detects outbound HTTP POST requests to known SynkLoader C2 domains or URI patterns, characterized by 'application/octet-stream' Content-Type headers. The rule targets specific hardcoded domains used by the malware and a suspicious nested URI path pattern commonly associated with its beaconing behavior.
Detects HTTP traffic communicating with known domains (grove-12.com and trekmesh15.com) associated with the Codex ClickFix/AMOS campaign, specifically looking for indicators of payload staging or beaconing activity through specific URI patterns.
Detects outbound HTTP POST requests with a specific URI pattern associated with C2Looper malware communication, indicating potential C2 activity or data exfiltration.
Detects network requests targeting 'chickplaybox.com', which is associated with a phishing campaign masquerading as the Adobe Sign platform. This rule monitors both cleartext HTTP host headers and TLS SNI fields to identify attempts to access the malicious domain.
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