Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Photo-themed ZIP phishing campaign dropping a Node.js implant
Stealthy backdoor MLTBackdoor linked to KongTuke ClickFix and ModeloRAT campaigns
Cloud extortion group exploiting exposed credentials and storage
Detects POST requests to vLLM multimodal inference endpoints that contain 'video_url' fields pointing to external resources or specific video file extensions (.jp2, .mov, .mp4). This activity is indicative of exploitation attempts related to CVE-2026-22778, where an attacker might try to inject malicious video URLs to trigger vulnerabilities in the vLLM service.
This rule detects two stages of a potential exploitation chain targeting vLLM multimodal endpoints. Stage 1 identifies POST requests to vLLM API endpoints that contain 'video_url' in the request context, which could indicate an attempt to exploit CVE-2026-22778. Stage 2 detects post-exploitation activity by looking for unexpected child processes (like shell interpreters or download utilities) spawned from vLLM or Python inference processes, suggesting successful remote code execution.
Banking trojan and loader using malicious Office macro delivery
Form-grabbing and credential stealing malware-as-a-service
Banking trojan and loader using malicious Office macro delivery
AI-powered phishing-as-a-service abusing device-code authentication
Detects HTTP requests that reference or serve the 'cors_exploit_poc.html' file, which is associated with the MexicanMafia (Operation Escaneo) actor's method of exploiting Cross-Origin Resource Sharing (CORS) misconfigurations. This exploit attempts to hijack active administrative sessions by leveraging CORS with 'withCredentials=true'.
Detects HTTP requests where the URI or request body contains indicators of internal network references (e.g., localhost, 127.0.0.1, or RFC 1918 private IP address ranges). This pattern is consistent with Server-Side Request Forgery (SSRF) attempts, where an attacker tries to force a vulnerable web application to perform unauthorized requests to internal resources.
Detects high-frequency authentication failure events targeting the Microsoft Remote Desktop Web (RDWeb) access login page, indicating a potential brute force or password spraying attack against remote access services.
This rule detects network connections where the HTTP request URL or specific HTTP cookies match patterns often associated with command and control infrastructure or specific tracking beacons. It triggers on connections to 'financemachinelearning.com/apparatus/wind/twig/statement.html' or requests containing cookies like 'zd_cs_pm' or 'euconsent-v2'.
Detects network beaconing activity associated with the SPECTRALVIPER C2 framework. This rule identifies outbound HTTP GET requests targeting known C2 infrastructure domains and IP addresses, while correlating the traffic with specific browser user agents and cookie patterns indicative of this actor.
Detects HTTP traffic initiating a WebSocket protocol upgrade with a specific 'binary' subprotocol header, characteristic of the Brickstorm backdoor used by the UNC5221 threat actor for command and control (C2) communication.
Detects HTTP traffic destined for the 1rpc.io Ethereum node gateway containing 'eth_call' in the request body, which is indicative of EtherRAT malware using blockchain infrastructure for command and control (C2) resolution.
Detects anomalous HTTP POST requests to the '/V1/Update/GetUpdate' endpoint on an MSSQL-hosted application, which is associated with malicious activity linked to the OceanLotus (APT32) threat actor group, specifically the Blazing Furnace campaign.
This rule detects network traffic directed at 'goldsky.arweave.net', a domain known to be used by the TukTuk malware as a dead-drop resolver. Adversaries often use legitimate web services like Arweave to host command-and-control (C2) configuration data, such as secondary C2 IP addresses or domains, allowing them to redirect infected hosts to backend infrastructure while masking the traffic as legitimate web communication.
Detects outbound HTTP PUT requests to 'filen.io', which has been associated with command-and-control (C2) communication for the PRISMEX malware used by the threat actor APT28 (also known as Pawn Storm/Fancy Bear).
Detects HTTP PUT requests directed at Wasabi Cloud Storage domains that originate from an Rclone user agent. This pattern is commonly indicative of data exfiltration activities where an attacker uses the Rclone utility to synchronize or upload sensitive data to unauthorized cloud storage.
Detects HTTP traffic destined for the 1rpc.io Ethereum node gateway containing 'eth_call' in the request body, which is indicative of EtherRAT malware using blockchain infrastructure for command and control (C2) resolution.
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