Detections

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

4,230 detections

Detects network connections to Bunny CDN infrastructure that contain common URL path indicators associated with phishing, a technique observed in activity attributed to UNC1151 (Ghostwriter).
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects a browser session requesting a device code and repeatedly polling the token endpoint while the victim completes authentication elsewhere. This behavior is indicative of an adversary using a device code phishing technique, often associated with the Tycoon threat actor.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
705
Detects network communication behavior consistent with the TinyRCT backdoor. The rule identifies instances where a process named 'PerfWatson2.exe' attempts to establish HTTP GET or POST connections to a known malicious IP address (45.32.113.172), signaling potential C2 beaconing activity using an encrypted channel.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
001
Detects requests to the PeopleSoft listening connector containing loopback, link-local, or private network targets in the URL or captured request fields. This indicates a potential Server-Side Request Forgery (SSRF) attempt.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
009
Detects Content Security Policy (CSP) violation reports or network traffic containing references to 'netdna-ssl.com' or 'netdna-cdn.com'. These hostnames are legacy CDN domains that have been re-registered, presenting a significant supply chain risk where malicious content could be injected into web applications loading resources from these domains.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects unauthenticated GET requests to the vulnerable ServiceNow REST API endpoint '/api/now/related_list_edit/create' which was exploited in early June 2026. The detection monitors for requests originating from anonymous or guest users, lacking authorization headers, and returning successful (200) responses.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
302
This rule detects outgoing network connections from the IIS worker process (w3wp.exe) to public-facing URLs that match common Microsoft Office WOPI (Web Application Open Platform Interface) request patterns, but are directed to domains other than trusted Microsoft-affiliated infrastructure. This behavior can be indicative of a Server-Side Request Forgery (SSRF) attempt, where an attacker tries to coerce the server into making unauthorized requests to external resources.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule detects suspicious WebSocket upgrade attempts targeted at Microsoft authentication endpoints, typically used by 'Bluekit' or similar Phishing-as-a-Service (PhaaS) platforms to establish a persistent connection or tunnel for credential harvesting via adversary-in-the-middle attacks. It flags traffic from non-private IP addresses that exhibit specific patterns associated with proxy usage or automated tooling (e.g., Python/curl) combined with WebSocket upgrade headers.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects potential browser fingerprinting and network reconnaissance behavior associated with Bluekit BitM PhaaS campaigns. The rule correlates large suspicious JavaScript file downloads (excluding common CDNs) with STUN server connectivity within a 10-minute window, a pattern often used by adversary-in-the-middle (AiTM) frameworks to fingerprint victims and establish WebRTC channels.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule detects suspicious WebSocket upgrade attempts targeted at Microsoft authentication endpoints, typically used by 'Bluekit' or similar Phishing-as-a-Service (PhaaS) platforms to establish a persistent connection or tunnel for credential harvesting via adversary-in-the-middle attacks. It flags traffic from non-private IP addresses that exhibit specific patterns associated with proxy usage or automated tooling (e.g., Python/curl) combined with WebSocket upgrade headers.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule detects Content Security Policy (CSP) violations related to 'netdna-ssl.com' or 'wpengine.netdna-ssl.com' domains. Specifically, it looks for violations where the blocked URI contains 'netdna-ssl.com' or the violated directive is 'script-src', 'font-src', or 'connect-src'. This could indicate attempts to inject malicious content or bypass CSP protections.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule monitors the creation of new Azure Function Apps and identifies those that receive external, non-private network requests within 48 hours of their creation. This pattern may indicate the deployment of malicious or unauthorized serverless infrastructure for command-and-control, proxying, or automated tasks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule monitors Cisco Unified Communications Manager (UCM) environments for multiple stages of an attack chain, including potential Server-Side Request Forgery (SSRF) attempts against administrative interfaces, suspicious file modifications by service accounts, indicators of privilege escalation, and anomalous outbound network connections from core Cisco processes.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects communication patterns indicative of the ErrTraffic webshell by searching for specific parameters ('wp_debug_session=' and 'mode=php') within web server URI/URL fields. The presence of these parameters suggests an active webshell connection, likely used for remote access and command execution on a compromised web server.
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Thiru N@Iamthiru
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Detections.ai Community
5 months ago
2014
This rule detects a specific typosquatting pattern used by the EvilTokens phishing kit. It looks for HTTP traffic where the host contains 'workers.dev' and matches a regular expression for 'viewdoc[a-z0-9\-]+\.workers\.dev'. This indicates an attempt to mimic legitimate Cloudflare Workers domains for phishing purposes, specifically targeting the 'viewdoc' pattern often seen in document-sharing lures.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects network activity associated with the Hashtopolis agent. Specifically, it looks for the string "hashtopolis" within the HTTP User-Agent header of traffic flowing from a client to a server. This activity is linked to the 'FortiBleed campaign', which involves distributed offline cracking of SHA-256 FortiGate administrator credential hashes.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
4 months ago
003
Detects a browser session that contacts an EvilTokens Device Code phishing endpoint (/api/device/status/) and then immediately navigates to onedrive.live.com, indicating the attacker backend returned status:completed and the kit executed window.location.replace to redirect the victim to OneDrive after token capture. This sequence suggests a successful device code phishing attack where the victim's credentials or tokens have been captured, and they are then redirected to a legitimate service to avoid suspicion.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
Detects HTTP network connections to the specific URI path and parameters used by the OnyxC2 stealer for C2 beaconing and data exfiltration.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
002
This rule detects JavaScript code within web traffic (proxy, web, or sandbox logs) that indicates attempts to block developer tools, prevent debugging, or detect automation drivers. Specifically, it looks for keywords and patterns associated with context-menu blocking, debugger statements, checks for browser window dimensions (often used to detect minimized or non-interactive browser windows), and the presence of automation-related strings like 'navigator.webdriver', 'selenium', or 'playwright'. This behavior is often observed in adversary-in-the-middle (AitM) phishing pages, such as those used by the Tycoon threat group, to hinder analysis and prevent automated detection.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
004
Detects web traffic where a user initiates a request for content related to 'policy', 'conduct', 'compliance', or 'handbook', experiences at least three redirects across different hosts, and ultimately lands on a page containing keywords indicative of a login, sign-in, OAuth, or authorization prompt. This pattern is often used in multi-stage phishing campaigns to obscure the malicious infrastructure.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
004
Detects a two-stage credential page that receives an email address and then requests tenant branding or a password form during the same browser session. This behavior is indicative of advanced phishing attacks that attempt to mimic legitimate login flows.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
004
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