Detections

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

452 detections

This rule monitors for outbound network connections to 'graph.microsoft.com' initiated by processes that are either unsigned or not digitally signed by Microsoft. It further correlates these connections with proxy logs to identify processes utilizing non-standard or unexpected User-Agents. This behavior is indicative of potentially malicious activity attempting to masquerade as legitimate Microsoft services or using the Microsoft Graph API for command and control or data exfiltration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
This rule detects processes other than standard web browsers performing network connections that coincide with OAuth token acquisition activities (POST requests containing 'access_token' in the response body). This behavior is indicative of potential token theft or unauthorized programmatic access to OAuth-protected resources.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule identifies potential Command and Control (C2) beaconing activity by detecting recurring, consistent HTTP(S) requests from internal hosts to unknown or newly seen external destinations, characterized by stable time intervals and low variance in response sizes. The detection logic filters out common User-Agents, indicating non-browser or automated traffic often associated with malware communication.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule monitors for DNS queries, network connections, and HTTP proxy requests originating from node/npm processes or targeting known infrastructure associated with the Trum3it campaign. It covers common malicious domains and specific Vercel subdomains identified as command-and-control (C2) endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects high-frequency requests to sensitive management or API-related URL paths (/msp/, /api/, /wyse/, /wms/) that are not preceded by successful authentication attempts. This pattern is characteristic of automated exploitation attempts or unauthorized discovery against network management or configuration interfaces from external IP addresses.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
This rule detects attempts to perform Large Language Model (LLM) prompt injection via HTTP requests. It monitors proxy traffic for common jailbreaking or adversarial instruction patterns such as 'ignore previous instructions', 'bypass restrictions', or 'fictional environment' within URI parameters or request bodies. Such patterns are indicative of an attacker attempting to manipulate the behavior of an AI/LLM application.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects high-frequency requests to sensitive management or API-related URL paths (/msp/, /api/, /wyse/, /wms/) that are not preceded by successful authentication attempts. This pattern is characteristic of automated exploitation attempts or unauthorized discovery against network management or configuration interfaces from external IP addresses.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
This rule detects suspicious web traffic patterns associated with potential Cross-Origin Resource Sharing (CORS) exploitation. It monitors for access to files containing 'cors_exploit_poc', HTTP POST requests containing sensitive 'AMAUTHID' cookies, or the presence of 'withCredentials' headers alongside 'Access-Control-Allow-Origin' configurations. These indicators, particularly when combined, suggest unauthorized attempts to bypass browser-based security models to access sensitive session identifiers or data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network activity associated with the 'Adblock for YouTube' Chrome extension (ID: cmedhionkhpnakcndndgjdbohmhepckk) as it retrieves malicious scripts from 'api.adblock-for-youtube.com'. These scripts are designed to access sensitive browser data, including session cookies, localStorage, and sessionStorage, and potentially interact with site-specific login form elements within the user's browser session.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network connections initiated by the Squid proxy server (squid.exe) on port 21, which is typically used for FTP. This could indicate unusual or potentially malicious use of the proxy, as FTP traffic through a proxy on this port might be unexpected.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
003
This rule monitors network logs (DNS, Proxy, or general network traffic) for communication with TON (The Open Network) blockchain-related infrastructure, including known C2 domains associated with TONResolver and specific blockchain API queries. It flags connections made by suspicious processes such as node.exe, powershell, wscript, cscript, or mshta, which are often used by malware to execute scripts or facilitate C2 communication.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects suspicious patterns within the search query parameters of Microsoft Copilot and M365 search requests, indicative of potential prompt injection, data exfiltration, or exploitation attempts through malicious URL parameters.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects browser processes invoking internal extension schemes and subsequently generating high volumes of network requests to e-commerce or advertising-related domains/URLs, indicating potentially malicious browser extension behavior such as affiliate tag substitution or ad-injection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects HTTP/1.1 Upgrade requests directed at an nghttpx proxy that contain a non-zero Content-Length header. This combination is the core primitive for the nghttp2-nghttpx-upgrade-queue-poison-poc attack, where the proxy incorrectly forwards request body bytes to the next backend connection user.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects attempts to exploit MyBB administrative controls. It monitors for two primary patterns: unauthorized privilege escalation where a limited ACP account creates a new Administrator (usergroup=4) user by bypassing access controls, and unauthorized access by limited ACP accounts to restricted administrative modules such as template and plugin management.
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Ibrahim Saud@tektrix
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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
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
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
Detects network connections originating from a Squid proxy process (squid.exe or processes containing 'squid' in their name) attempting to connect to an FTP server (port 21). This could indicate a reachability test or other activity related to the Squidbleed vulnerability, or general proxy misuse.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
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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