Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

2,154 detections

Detects network traffic to Cloudflare-hosted services (trycloudflare.com, workers.dev) potentially indicative of C2 communication, especially when initiated by common scripting or proxy processes like powershell.exe, wscript.exe, cscript.exe, mshta.exe, or cloudflared.exe.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
103
This rule detects outbound network connections to common tunneling and proxy services (Cloudflare Tunnel, Cloudflare Workers, and Microsoft Dev Tunnels). These services are frequently abused by threat actors, such as the Gamaredon Group (ACTINIUM), to establish command-and-control (C2) channels and tunnel traffic to evade network-based detection systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
003
Detects potential Browser-in-the-Middle (BitM) phishing activity by identifying a client browser that fetches the 'rrweb' session-recording library followed by a WebSocket connection to a different origin within 5 minutes. This sequence is indicative of an attacker-controlled browser streaming the victim's DOM and interaction events to a phishing infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects web traffic containing specific randomized CSS filter properties on top-level elements, frequently seen in Bluekit PhaaS toolkits. These properties are used to alter the visual hash of the rendered page, complicating automated screenshot or pixel-based analysis by security vendors. This technique is often combined with suspicious URL patterns indicative of credential harvesting sites.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects browser-based WebRTC STUN traffic initiated from phishing landing pages used by the Bluekit PhaaS platform. The rule identifies suspicious STUN requests originating from browsers that exhibit a WebRTC IP mismatch when compared to the active HTTPS session IP, a technique used by attackers to de-anonymize security researchers and bypass automated analysis sandboxes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects network connections and DNS requests to specific domains associated with Unistream SDK and other known BadBlocker malware infrastructure, often linked to malicious browser extensions such as Adblock for YouTube and related variants.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Detects network activity associated with the Turla group's STOCKSTAY malware infrastructure. This includes downloading MSI installers or server scripts from GitHub, as well as WebSocket C2 communications with the onrender.com platform.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects anomalous WebSocket connections on web pages that utilize the 'rrweb' session replay library, often used by phishing infrastructure such as the Bluekit Browser-in-the-Middle (AiTM) kit to capture and relay real-time victim input (keystrokes and mouse movements) to attacker-controlled consoles.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects network activity associated with the Bluekit PhaaS (Phishing-as-a-Service) BitM (Browser-in-the-Browser) C2 infrastructure. It monitors for connections to known malicious domains, the use of WebSocket upgrades over TLS, and the presence of 'rrweb' (a DOM recording library) in request URIs, which are indicative of browser-in-the-browser phishing C2 traffic.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects network communication associated with the Bluekit phishing framework and the use of the rrweb library to capture web sessions, including WebSocket upgrade attempts which may indicate unauthorized user activity monitoring or credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects potential browser fingerprinting activity or unauthorized WebRTC STUN requests, often associated with malicious landing pages, phishing, or automated detection evasion. It identifies the presence of specific browser API calls (RTCPeerConnection, navigator.deviceMemory, navigator.hardwareConcurrency) or suspicious use of STUN server ports (3478, 19302) on non-authorized domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects outbound network connections to a known malicious IP (83.142.209.214) associated with Lambsys cryptominer activity. The rule specifically monitors for HTTP POST requests to '/status.php' or '/setup_status.php' using the default 'Go-http-client/1.1' User-Agent, indicating a C2 beaconing pattern.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
Detects high-volume credential stuffing attacks targeting the WordPress 'wp-login.php' endpoint. The rule monitors for multiple geographically distinct source IP addresses submitting HTTP POST requests to the login page within a 2-minute window. It specifically identifies traffic patterns associated with common infostealer-harvested credential campaigns (such as Vidar, Stealc, or DanaBot) by matching a specific User-Agent string associated with the campaign.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
This rule detects activities associated with a specific malicious browser extension, including the presence of its files on disk, execution of browsers with the extension ID in the command line, and network connections to known malicious or typosquatted domains (perplexity-ai.online, extension.tilda.ws) used for C2 or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects DNS queries to known StegoAd command-and-control domains 'liveupdt.com' and 'dealctr.com'. These domains are used by the StegoAd campaign to deliver steganographic payloads and push malicious JavaScript to compromised browser extensions.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects outbound SSH connections from common applications using libssh2 to external, non-standard or untrusted servers, followed by an anomalously large inbound TCP data transfer before authentication completes. This behavior is indicative of exploitation attempts targeting CVE-2026-55200, where a malicious SSH server triggers a heap overflow in the client via a malformed packet.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
This rule detects network activity associated with a known malicious domain 'facture-in.pages.dev' or suspicious HTTP response patterns often observed in phishing kits or web-based redirection, such as 'BOT BLOCKED', 'no_mouse', 'wrong_timezone', or specific language-localized error messages.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
000
Detects attempts to generate SQL injection payloads by abusing Ollama servers, specifically targeting unauthenticated HTTP POST requests to /api/generate or /api/chat on port 11434. The rule looks for SQL injection indicators and VAPT framework specific strings within the request context, URI, or user agent.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
105
This rule detects network connections on port 21 (FTP) where the remote URL contains keywords indicative of NetWare directory listings or related services (netware, NDS, bindery, ncf). This could indicate an attempt to discover or interact with NetWare services, potentially exploiting vulnerabilities like Squidbleed.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects anomalous device network activity involving 5G-specific protocol ports (e.g., GTP-U, SIP). The rule aggregates unique port usage per device over 1-hour intervals to identify potential network reconnaissance, scanning, or unauthorized control plane communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects network connections on port 21 (FTP) where the remote URL contains keywords indicative of NetWare directory listings or related services (netware, NDS, bindery, ncf). This could indicate an attempt to discover or interact with NetWare services, potentially exploiting vulnerabilities like Squidbleed.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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