Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects an attempt to exploit CVE-2025-3248, an unauthenticated remote code execution vulnerability in Langflow. The rule identifies POST requests to the '/api/v1/validate/code' endpoint that contain base64 encoded strings in the request body, which are characteristic of malicious Python payloads designed to execute arbitrary code.
This rule detects network traffic indicative of N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
This rule detects network traffic indicative of N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
Detects anomalous MS_T120 channel binding and MCS handshake patterns characteristic of the BlueKeep (CVE-2019-0708) remote code execution vulnerability in Microsoft RDP services.
Detection rules identifying malformed RDP MCS Connect Initial PDUs and unusual service crashes following RDP connection attempts, both indicative of exploitation attempts against the CVE-2019-0708 (BlueKeep) vulnerability.
Detection rules identifying malformed RDP MCS Connect Initial PDUs and unusual service crashes following RDP connection attempts, both indicative of exploitation attempts against the CVE-2019-0708 (BlueKeep) vulnerability.
Detects specific malformed HTTP request patterns associated with the Casbaneiro (Metamorfo) banking trojan. The rules identify suspicious beaconing attempts, including specific URI structures ('/$p', '/$or?u=') and malformed headers (missing Host header combined with specific Content-Length anomalies).
This rule detects network traffic originating from potential Casbaneiro or Ousaban malware that uses HTTP 302 redirects to redirect non-targeted IP addresses to Google or YouTube. This behavior is used as a geofencing and sandbox evasion technique to prevent security analysts and automated systems from seeing the actual malicious payload.
This rule detects network traffic patterns associated with the Koktevrat Android RAT, specifically identifying periodic TLS beacons (heartbeats) destined for known C2 domains (streams-tv.lol and stream-plus.lat). The behavior suggests the use of Android's AlarmManager to schedule recurring callbacks to the C2 infrastructure.
This rule detects potential command and control (C2) activity associated with the Koktevrat malware, specifically looking for WebSocket handshake requests (HTTP GET with 'Upgrade' header) to domain names that follow a generated pattern (8-27 alphanumeric characters ending in .icu or .cfd).
Detects specific command strings ('proxy_open', 'proxy_data', 'proxy_close') associated with the Koktevrat Android RAT's tunneling functionality. The rule monitors outbound TCP traffic to identify the initiation, data transfer, and termination phases of a proxy connection, leveraging Suricata flowbits to track the state of the C2 tunnel.
Detects repeated authentication attempts over PPTP (port 1723) or L2TP (port 1701) protocols originating from an external network, indicative of potential brute-force activity against remote access services.
Detects anomalous TLS traffic characterized by an empty Server Name Indication (SNI) field in the TLS handshake, combined with a high frequency of such connections. This behavior is indicative of certain proxy protocols like Xray VLESS with REALITY, which are often used to evade Deep Packet Inspection (DPI) and traffic shaping policies by disguising C2 or tunneling traffic as legitimate-looking TLS connections.
Detects anomalous TLS traffic characterized by an empty Server Name Indication (SNI) field in the TLS handshake, combined with a high frequency of such connections. This behavior is indicative of certain proxy protocols like Xray VLESS with REALITY, which are often used to evade Deep Packet Inspection (DPI) and traffic shaping policies by disguising C2 or tunneling traffic as legitimate-looking TLS connections.
Detects DNS queries, TLS SNI headers, and HTTP host headers associated with identified C2 infrastructure for NetSupport Manager malware, specifically domains themed around 'GTA6'. These indicators are used by attackers for command and control communication.
Detects attempts to bypass authentication on Nacos servers, including the use of spoofed Nacos-Server User-Agent headers, suspicious API query patterns missing required access tokens, and the subsequent use of forged JWT tokens signed with default keys.
Detects unauthenticated HTTP POST requests targeting the FortiGate administrative API (/api/v2/), which may indicate exploitation attempts related to CVE-2025-25249. The rule specifically looks for requests lacking authentication headers (Cookie or Authorization).
Detects TLS connections where the certificate subject is 'azure.uzrailwaystax.com' and the issuer is 'TLC DV TLS CA', indicating potential impersonation of the Uzbekistan railway authority infrastructure, likely associated with SilkParasite activity.
Detects HTTP GET requests to a specific URL path containing an image file, which is associated with the delivery of the LausivLoader malware. The rule monitors for external connections to the domain 'yapw.life' requesting a PNG file, a technique often used for steganographic payload delivery.
Detects network traffic associated with SilkParasite SpiceRAT malware, including direct IP connections, DNS queries for known malicious domains, and corresponding TLS SNI or HTTP Host header metadata indicating command-and-control (C2) activity.
Detects high-frequency TCP SYN packet bursts targeting port 37777 (commonly used by Dahua surveillance devices). The detection triggers when more than 50 SYN packets from a single source are observed within a 10-second window, suggesting automated reconnaissance or vulnerability scanning activity.
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