Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Langflow CVE-2026-33017 exploitation attempts combining the /api/v1/auto_login endpoint with a flow_id parameter.
Detects outbound FOFA asset-search traffic containing an exact title="Langflow" query directed at the FOFA API host (fofa.info), indicating reconnaissance for Langflow deployments.
Detects an n8n form file-upload request combining the vulnerable /form/ multipart upload endpoint with a path-traversal marker in the filename field, consistent with the chained CVE-2026-21858 arbitrary file read to CVE-2025-68613 sandbox-bypass RCE exploit.
Detects an HTTP POST to an IP-literal host occurring after an eth_call blockchain RPC lookup from the same host, consistent with DeviceManager/DOUBLECUP resolving and beaconing to a C2 address extracted from blockchain-sourced configuration.
Detects DOUBLECUP's session polling/telemetry beacon to /session/reg, /session/check, and /session/signal with a sid= query parameter, requiring at least 5 requests within 15 seconds to match the malware's 1.2-3 second polling cadence.
Detects HTTP GET requests with an Upgrade: websocket header directed at known UNC6692 Edgecution/SNOWBELT malware command-and-control infrastructure hosted on CloudFront subdomains via the /ws URI path. This indicates active WebSocket-based communication between an infected host and the threat actor's C2 server.
UNC6692 Edgecution phishing/payload page hosted on AWS S3 static website hosting (patch.html/.a payload)
Detects a suspicious proxy authentication negotiation pattern involving multiple HTTP 407 challenges followed by a WebSocket upgrade and the establishment of a SOCKS5 tunnel, indicative of the BridgeHead adversary toolset.
Detects inbound HTTP requests targeting specific hosts (photo.pokok.edu.hk, pta.sfaeps.edu.hk) with URI patterns associated with exploitation campaigns targeting vulnerabilities including CVE-2018-11511, CVE-2021-24139, CVE-2021-31755, and CVE-2021-32305.
Detects high-frequency outbound HTTP traffic matching specific URI patterns associated with potential Adaptix C2 beaconing behavior. The rule uses a sliding window threshold (10 requests within 600 seconds) to identify repetitive check-in patterns, which is a common characteristic of malware command-and-control channels.
This rule detects potential command-and-control (C2) activity related to the NodeSnake RAT. It specifically identifies cleartext HTTP requests attempting to initiate a WebSocket upgrade (using the Sec-WebSocket-Key header) while the target host is specified as an IP address literal rather than a domain name, which is a common indicator of hardcoded or non-DNS-dependent C2 infrastructure.
Detects outbound HTTP GET requests to google.com that utilize a bare 'Mozilla/5.0' User-Agent header, which is indicative of the TOKYOCORE malware performing network connectivity checks. This behavior is atypical for standard browsers and can be used to identify potential beaconing activity.
Detects HTTP traffic patterns characteristic of suo5 and Neo-reGeorg web shell tunnels. These tools facilitate bidirectional communication through JSP endpoints (e.g., /jmx/suo5.jsp, /common/themes/top_css.jsp) by utilizing hardcoded proxy identifiers in HTTP headers. This behavior is indicative of a compromised web server acting as a pivot point for command-and-control operations.
Detects high-frequency HTTP GET request patterns indicative of bulk vulnerability scanning using the Nuclei scanner against public-facing web services. The rule triggers when a source IP initiates 250 or more requests within a 300-second window, excluding pre-authorized scanner source IP addresses.
This rule detects HTTP response bodies containing indicators associated with SourTrade malvertising campaigns, specifically JSON configuration fields and a base64-encoded Windows PE executable header (MZ/TVqQAAMAAAAEAAAA).
Detects HTTP POST requests to the Microsoft login endpoint for OAuth2 tokens using the client_credentials grant type, where the request body contains evidence of hardcoded client_secret parameters and specific scopes. This behavior often indicates an application or script with embedded, potentially leaked or insecurely stored, credentials being used to authenticate against Microsoft cloud services.
Detects outbound HTTP POST requests directed to Discord webhooks containing specific indicators associated with the TOKYOCORE ransomware, specifically identifying a unique User-Agent and a hardcoded exfiltration/C2 string in the request body.
Detects HTTP GET requests to a known malicious endpoint attempting to download a file named 'update_ms.msi', associated with the Chaos msaRAT trojan.
This rule detects potential command and control (C2) beaconing activity associated with the AdaptixC2 framework. It identifies HTTP requests containing a specific 'X-Beacon-Id' header combined with known C2 URI patterns and a specific User-Agent string commonly observed in AdaptixC2 traffic.
Detects network traffic consistent with the SleeperGem loader communicating with a Forgejo instance hosted on git.disroot.org. The detection looks for GET requests containing specific path patterns (e.g., '/git-ecosystem/', '/raw/branch/main/') and file extensions (deploy.sh or git-credential-manager), along with a 'Git' user-agent, which is characteristic of the loader's C2 retrieval activity.
Detects a multi-stage network activity pattern characteristic of 'SourTrade' cloaking. The rule tracks an initial HTTP request with a referral to a known lookalike crypto/trading domain, followed by the fetching of a client-side JavaScript fingerprinting script, and finally, a subsequent HTTP response that appears to be a near-empty decoy page (used to mask malicious content from crawlers).
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