Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects incoming HTTP requests to the WSO2 admin API endpoint that utilize a JSON Web Token (JWT) with the 'alg=none' algorithm, indicating an attempt to bypass authentication via JWT token forgery (CVE-2026-5430).
Detects attempts to exploit a vulnerability in WSO2 API Manager and Traffic Manager that allows for authentication bypass by utilizing a malformed JWT with the 'alg=none' header. Attackers can leverage this to impersonate users or bypass security controls by providing a crafted Bearer token in the Authorization header.
Detects unauthorized devices or processes attempting to communicate with the Telegram Bot API (/sendMessage or /sendDocument) and monitors for credential-related terms within the request metadata. This often indicates the use of Telegram as a command-and-control (C2) channel for data exfiltration or credential theft.
This rule detects potential Adversary-in-the-Middle (AiTM) phishing attacks targeting Microsoft 365 authentication flows. It identifies suspicious proxy traffic that contains authentication-related URIs or session-related cookies (such as ESTSAUTHPERSISTENT or refresh tokens) originating from hosts other than recognized Microsoft domains. This behavior is indicative of an attacker using a reverse proxy, such as Evilginx2, to intercept user credentials and session cookies in real-time.
Detects the AnonyMousKIT activity sequence, identified by the dispatch of a templated device-recovery lure via the WhatsApp Business API followed by a Telegram Bot API webhook alert to the operator within a 10-minute window. This temporal relationship between the outbound lure and the operator-side notification is used as a signature for the C2 orchestration.
Detects network activity characteristic of JWR or Outsider-style live phishing kits. The rule monitors for specific instruction tokens (e.g., card entry, verification codes, success indicators) in network requests within a short time window, indicating an operator-driven phishing session.
Detects HTTP traffic proxying Microsoft authentication paths (OAuth 2.0 authorization or CDN assets) via non-Microsoft domains. This behavior is indicative of an Adversary-in-the-Middle (AiTM) phishing attack using typosquatted infrastructure to intercept user sessions.
Detection rules designed to identify various stages of an Adversary-in-the-Middle (AiTM) phishing campaign, including malicious redirect chains (e.g., Google Meet/Ads redirects, AWS S3-hosted assets) and common lure patterns in SMTP traffic referencing voicemail portals.
Detects the abuse of the Google Meet 'linkredirect' service to facilitate phishing attacks, commonly used to bypass security filters and redirect users to Adversary-in-the-Middle (AiTM) phishing landing pages.
Detects outbound HTTP requests to api.telegram.org containing 'sendMessage' patterns in the URI and suspicious query parameters like 'VIEW' or 'MOBILE'. This behavior is characteristic of malicious scripts or applications using the Telegram Bot API as a command-and-control (C2) or exfiltration channel.
Detects network activity associated with the GhostCode phishing kit, specifically communication with its geolocation harvester API, DNS lookups for the FlashProxy.io residential proxy service used for geolocation evasion, and identification of the proxy_ip in HTTP responses.
Detects outbound HTTP GET requests containing a specific '/ping' URI pattern and 'h=' query string parameter, characteristic of Redis-based cryptomining botnet C2 heartbeat check-ins.
Detects network traffic (DNS, TLS SNI, and HTTP Host headers) attempting to communicate with infrastructure associated with the EvilTokens Phishing-as-a-Service (PhaaS) platform. This activity is indicative of credential harvesting or adversary-in-the-middle (AiTM) attacks.
Detects a multi-stage phishing redirect chain used in 'EvilTokens' attacks. The rule identifies communication with common serverless hosting platforms (Vercel, Cloudflare Workers, AWS Lambda/Execute-API) followed by interaction with anti-bot/CAPTCHA gates (Cloudflare Turnstile, hCaptcha, Google reCAPTCHA) and finally reaching known Microsoft device code phishing endpoints (/devicelogin or /common/oauth2/deviceauth).
Detects a multi-stage phishing redirect chain used in 'EvilTokens' attacks. The rule identifies communication with common serverless hosting platforms (Vercel, Cloudflare Workers, AWS Lambda/Execute-API) followed by interaction with anti-bot/CAPTCHA gates (Cloudflare Turnstile, hCaptcha, Google reCAPTCHA) and finally reaching known Microsoft device code phishing endpoints (/devicelogin or /common/oauth2/deviceauth).
Detects a multi-stage phishing redirect chain used in 'EvilTokens' attacks. The rule identifies communication with common serverless hosting platforms (Vercel, Cloudflare Workers, AWS Lambda/Execute-API) followed by interaction with anti-bot/CAPTCHA gates (Cloudflare Turnstile, hCaptcha, Google reCAPTCHA) and finally reaching known Microsoft device code phishing endpoints (/devicelogin or /common/oauth2/deviceauth).
CloudSEK researchers uncovered BigBear 2.0, a global Microsoft 365 phishing-as-a-service operation targeting hundreds of organizations across 40+ countries. The investigation exposed the attacker’s admin panel, affiliate network, phishing infrastructure, and thousands of stolen credentials and session cookies, revealing how modern AiTM attacks can hijack authenticated sessions even after MFA.
Detects network activity associated with the HEAVYGRAM PowerShell implant, specifically identifying outbound traffic to the Telegram Bot API (api.telegram.org). The rule looks for established connections and HTTP requests containing Telegram bot-specific URI patterns ('/bot', '/getUpdates') coupled with a 'WindowsPowerShell' user agent, indicating an automated beaconing mechanism used for command and control.
Detects HTTP POST requests to the specific '/api/node/register' URI, which is associated with the RatHat RAT command and control (C2) node registration behavior.
Detects network communication to Telegram API (api.telegram.org) indicative of HEAVYGRAM malware command and control (C2) beaconing. The rule specifically looks for HTTP POST requests to the /sendMessage endpoint containing a chat ID and the hardcoded 'is online' message string, which is characteristic of this implant's check-in behavior.
Detects network activity (DNS lookups, TLS SNI, and HTTP Host headers) associated with proxy infrastructure (iproyal.com and lightningproxies.net) known to be used by the HEAVYGRAM/CHOSEN BRICK threat actors to mask Telegram-based command and control traffic.
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