Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
Detects upload requests targeting executable or server-side script file extensions.
Detects access to common authentication/login endpoints.
Detects HTTP upload requests directed to common web directory paths that contain suspicious file extensions, specifically archive formats (e.g., zip, rar, tar) or macro-enabled Office documents (e.g., docm, xlsm). This behavior is often associated with the delivery of malware payloads.
Detects HTTP upload attempts to web directories where a request URL contains a suspicious double file extension pattern (e.g., a web shell extension followed by an image or document extension). This technique is commonly used to bypass web server or application-level security filters that check for forbidden file types by looking at the final extension while the server might execute the underlying script.
Detects requests for files with names suggesting sensitive content (password, secret, apikey, etc.).
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 monitors for web server exploit attempts (indicated by patterns like JNDI lookups or SQL injection sequences in URI/cookie data) that correlate with a surge in server-side errors (400+ status codes) and subsequent anomalous process creation or outbound network connections from the web server process.
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
Detects HTML content that mimics Cloudflare CAPTCHA challenges to perform social engineering (ClickFix). The rule specifically identifies the combination of fake CAPTCHA UI text, connection to suspicious domains (DDR patterns), and JavaScript snippets used to fetch and execute secondary payloads or redirects.
Pycodevx Rat C2 Beacon
YARA-L
Detects outbound HTTP(S) requests carrying the 'pyCodeVx', 'pyCodeV3', 'pyCodeV4', or 'NEWW' string marker in the URI, User-Agent, headers, or body, indicating beaconing by the pyCodeVx Python-based RAT (and its variants) to its command-and-control infrastructure
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.
This rule detects potential unauthenticated access or unauthorized configuration modifications to an AI agent management backend. It monitors HTTP logs for requests targeting configuration endpoints that lack proper authentication, specifically identifying attempts to retrieve sensitive information like Dify or Coze keys, or attempts to inject new agent configurations via unauthenticated POST requests.
Detects the use of non-standard, unusual, or potentially dangerous HTTP methods within Caddy web server logs, which may indicate reconnaissance, web application exploitation, or attempts to abuse server functionalities like WebDAV.
Detects access attempts to application/error/debug log files.
This rule monitors for active reconnaissance or scanning behavior by detecting a single source IP interacting with a high number of distinct ports/hosts within a short time frame (NetworkScan) or accessing a high number of distinct URI paths/404 errors (WebContentScan).
Detects network activity (DNS queries, TLS SNI, and HTTP Host headers) directed towards domains ending in the .vu Top-Level Domain (TLD). This is associated with NovaCookies phishing infrastructure which utilizes these TLDs for malicious redirection or staging.
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.
Detects network connections, DNS resolutions, or TLS SNI values matching known TWINLOOT command-and-control infrastructure, including the attacker-registered domains sharepointx.th2ch.com and lpi-web.com and the failover IP 193.24.211.221. TWINLOOT is a modular Python implant that hides its C2 inside trusted Microsoft cloud services (Graph API, SharePoint Online, Teams TURN relay) while also relying on dedicated attacker-controlled infrastructure for direct TLS/WebSocket tunneling and failover.
Detects SSRF attempts targeting cloud metadata endpoints or internal/private network addresses.
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