Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
Detects established raw-TCP C2 communication sessions associated with the GapiUpdate Go-based RAT, identifying both known malicious infrastructure and behavioral anomalies characteristic of long-lived, encrypted C2 persistence.
Detects established raw-TCP C2 communication sessions associated with the GapiUpdate Go-based RAT, identifying both known malicious infrastructure and behavioral anomalies characteristic of long-lived, encrypted C2 persistence.
Detects repeated manual HTTP GET requests from many distinct source IPs to a canary token resource. The URI pattern follows a format indicative of a tracked canary token resource, and the threshold of 49 unique source IPs accessing the resource within a prolonged period suggests potential unauthorized reconnaissance or probing activities.
Detects high-frequency, repeated access to a specific fraud-tracking or canary token link by sources utilizing rotating VPNs or proxies over an extended period. This behavior is indicative of automated probing or credential validation attempts associated with the Phantom Deal campaign.
Detects high-frequency, repeated access to a specific fraud-tracking or canary token link by sources utilizing rotating VPNs or proxies over an extended period. This behavior is indicative of automated probing or credential validation attempts associated with the Phantom Deal campaign.
Detects an attempt to exploit CVE-2026-24858 in FortiCloud SSO by sending a crafted SAML authentication request that lacks a signature. This vulnerability allows an attacker to bypass authentication by providing an unsigned SAML response.
Detects high-frequency requests to the RubyGems legacy API key endpoint, which may indicate attempts to harvest or bruteforce developer API keys. The rule specifically monitors for request patterns involving variations like .yaml, .json, or parameter-based variants often observed in scanning activities.
This rule detects potential Server-Side Request Forgery (SSRF) attempts targeting specific UK council ModernGov websites (e.g., Lambeth, Wandsworth, Southwark). It looks for outbound HTTP requests from non-browser clients (specifically identifying 'Ruby' in the User-Agent string) to these specific gov.uk domains, with a threshold to catch repeated attempts.
This rule detects potential Server-Side Request Forgery (SSRF) attempts targeting specific UK council ModernGov websites (e.g., Lambeth, Wandsworth, Southwark). It looks for outbound HTTP requests from non-browser clients (specifically identifying 'Ruby' in the User-Agent string) to these specific gov.uk domains, with a threshold to catch repeated attempts.
Detects network activity and email headers associated with the DoppelBrand campaign. The rule monitors DNS queries for specific IOC domains (service-nowinc.com, domainlify.net) and inspects SMTP traffic for malicious MAIL FROM addresses and Reply-To headers targeting these domains.
Detects network activity and email headers associated with the DoppelBrand campaign. The rule monitors DNS queries for specific IOC domains (service-nowinc.com, domainlify.net) and inspects SMTP traffic for malicious MAIL FROM addresses and Reply-To headers targeting these domains.
Detects phishing attempts related to 'Operation DoppelBrand' campaign using common email service providers (ESPs) to spoof legitimate-looking emails with fraud-themed subjects, such as invoices or payment requests, associated with the Brickstorm malware.
Detects phishing attempts related to 'Operation DoppelBrand' campaign using common email service providers (ESPs) to spoof legitimate-looking emails with fraud-themed subjects, such as invoices or payment requests, associated with the Brickstorm malware.
Detects DNS queries for 'd.clash-verge-upgrade.com', a domain identified as a Command and Control (C2) fallback transport mechanism for the ProRAM malware.
Detects an HTTP POST request targeting the host 'tt.yeyoujs.com' at the URI path '/api/agent/enroll', containing a specific Python aiohttp User-Agent string. This pattern is characteristic of a C2 agent attempting to register or enroll with an external command-and-control server.
This rule monitors incoming HTTP requests for the presence of the Base64-encoded string 'rO0AB', which is the standard header for serialized Java objects. The presence of this header in an HTTP request body is a strong indicator of a Java deserialization exploitation attempt.
This rule detects common patterns associated with Expression Language (EL) injection attacks in HTTP traffic. These patterns typically attempt to invoke Java reflection, runtime execution, or process creation through vulnerable applications utilizing templating engines or expression evaluators (e.g., OGNL, Spring Expression Language). Attackers use these to achieve remote code execution (RCE).
This rule detects HTTP requests containing an invalid or malformed 'Transfer-Encoding' header value. Such malformations are often used in HTTP Request Smuggling (HRS) attacks to cause desynchronization between a front-end load balancer/proxy and a back-end web server, potentially allowing an attacker to smuggle requests, bypass security controls, or perform cache poisoning.
Detects anomalous TCP stream reassembly where overlapping segments contain different data. This technique is often used to bypass Network Intrusion Detection Systems (IDS) by presenting different data to the target system than what the IDS inspects.
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