Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unauthenticated HTTP POST requests to the /prompt endpoint of a ComfyUI instance, which is indicative of an attempt to remotely execute workflows on an exposed instance.
Detects inbound HTTP POST requests to the /generate endpoint of a Hugging Face Text Generation Inference (TGI) server. Such requests indicate attempts to use or interact with the inference API, potentially without authentication, which could lead to unauthorized resource utilization or model interaction if the service is not properly secured.
This rule detects external reconnaissance attempts targeting MLflow Tracking Servers by monitoring for inbound HTTP GET requests to the default MLflow API path '/api/2.0/mlflow/'. This behavior is indicative of an adversary scanning for exposed machine learning infrastructure, potentially to facilitate subsequent unauthorized access or exploitation of the tracking server.
Detects network traffic indicators associated with Cobalt Strike beaconing activity, specifically focusing on common default or near-default Malleable C2 HTTP profile patterns. This includes hardcoded URI paths often used in default configurations (e.g., jQuery library names, pixel gifs) and specific combinations of HTTP headers and user-agent strings commonly observed in adversary C2 frameworks.
This rule detects potential Multi-Factor Authentication (MFA) push-bombing, also known as MFA fatigue, where an adversary floods a user with push requests in hopes that the user eventually approves one. The rule flags instances where a successful MFA push approval is preceded by five or more failed, denied, or timed-out MFA push notifications within a 15-minute rolling window for the same user.
Detects outbound HTTP traffic from internal hosts directed toward a known IP address identified as hosting AdaptixC2 infrastructure, specifically associated with the distribution of a trojanized 'mscopilot.exe' executable.
This rule detects established TLS connections to external domains that exhibit characteristics often associated with phishing campaigns. Specifically, it looks for domain names in the SNI field that contain common brand names (e.g., microsoft, google, paypal) combined with typical login-related keywords (e.g., login, verify, auth) on high-churn or suspicious Top-Level Domains (TLDs) such as .top, .xyz, or .icu.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
Detects potential DNS tunneling or Command and Control (C2) activity by analyzing DNS query patterns. The rule identifies anomalous behavior based on high query volume, excessive unique subdomain fanout to a single parent domain, and unusually long average query lengths. This combination is often indicative of data exfiltration or communication with a C2 server over the DNS protocol.
Detects outbound network traffic associated with the Azazel operation, including connections to identified C2 infrastructure, open directory/upload listeners, domain-specific staging servers, and exfiltration attempts to MEGA cloud storage endpoints.
Identifies NetScaler ADC or Gateway software versions in the inventory that are known to be vulnerable to CVE-2026-88771 and CVE-2026-88772, despite having received the patch for CVE-2026-19490.
Detects attempts to exploit Oracle WebLogic Server vulnerabilities, specifically those leveraging the T3 protocol to transmit malicious Java serialized payloads, as seen in CVE-2026-70756. The rule identifies suspicious T3 handshake patterns and the presence of common Java deserialization gadget chains.
Detects configuration changes to AAA/TACACS+ settings or the creation of local administrative accounts on network devices executed over SSH or Telnet sessions. This behavior is associated with malicious activity by groups such as Salt Typhoon, involving the compromise of telecommunications infrastructure.
This rule detects attempts to exploit the Microsoft Support Diagnostic Tool (MSDT) vulnerability CVE-2022-30190, known as 'Follina'. The rules monitor for malicious HTTP traffic and payloads that leverage the 'ms-msdt' URI scheme to execute arbitrary commands, often delivered via weaponized documents or external references to remote malicious HTML files.
Detects attempts to exploit the Log4Shell vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, dns) via malicious strings within HTTP URI and request headers, a common attack vector for remote code execution.
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
Detects anomalous network traffic patterns characteristic of SectopRAT, specifically utilizing Binance Smart Chain (BSC) RPC nodes to facilitate fallback Command and Control (C2) communication. The rule monitors for POST requests to known BSC data seed domains containing 'eth_call' in the body, specifically looking for START and FINISH markers in the response body.
Detects network activity associated with the RatHat Android malware, specifically tracking device registration, log uploads to '/api/node/', and subsequent WebSocket protocol upgrades used for command-and-control communications.
Detects network exploitation attempts targeting Fortinet FortiOS and FortiProxy vulnerabilities (CVE-2024-55591, CVE-2025-24472) involving authentication bypass via HTTP header manipulation (Forwarded, X-Forwarded-For) and unauthorized access to the /jsconsole endpoint.
Detects a suspicious sequence of events where a host performs multiple reconnaissance-style probes (health checks, documentation, or OpenAPI definitions) followed within 10 minutes by access to sensitive artifact-related URLs on the same remote host. This pattern is indicative of an attacker profiling a target server for metadata and then proceeding to exfiltrate files or sensitive artifacts.
This rule detects potential exploitation of CVE-2026-86134, a NULL pointer dereference vulnerability in WatchGuard Fireware. It identifies a burst of authentication-related requests (login, authd, management) targeting a device, followed by system logs indicating a service crash, daemon restart, or core dump within a short correlation window. This behavior is indicative of a Denial of Service attack.
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