Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
Detects suspicious GET requests to the Magento '/customer/section/load/' endpoint with specific parameters ('sections=customer' and 'force_new_section_timestamp=true'). These requests are indicative of reconnaissance activity related to the StyleSmuggler campaign, potentially associated with exploitation of Magento vulnerabilities such as CVE-2025-54236.
Detects attempts to exploit the Log4j vulnerability (CVE-2021-44228) by identifying JNDI lookups (ldap, rmi, http, ldaps, dns) in inbound HTTP traffic. These lookups are a hallmark of the Log4Shell attack vector, allowing for remote code execution.
Detects network requests originating from the Netch gateway tool or similar environments, attempting to fetch auto-configuration profiles for Shadowsocks from the external domain 'www.sheng886.top' using the '/api/v1/internal/shadowsocks/auto-config' endpoint. The rule specifically matches the Go-http-client user agent, which is common in automated scripts and Go-based proxy tools.
This rule detects network traffic indicative of the PEEP Browser RAT, specifically HTTP beacons targeting the URI path '/api/commands'. It monitors for unique HTTP headers ('X-PEEP-Agent-Id', 'X-PEEP-Agent-Key') and connections to known malicious infrastructure.
This rule detects attempts to exploit the LiteLLM proxy pass-through endpoint to interact with the cloud Instance Metadata Service (IMDS). Specifically, it identifies configuration attempts to route traffic to the IMDS IP (169.254.169.254) and subsequent requests to retrieve IAM security credentials, which is indicative of a Server-Side Request Forgery (SSRF) attack to steal cloud identity tokens.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
This rule detects attempts to exploit a vulnerability in the WordPress Super Forms plugin (CVE-2026-14894). The rule monitors for malicious file upload requests containing embedded PHP code or attempts to bypass filename extensions for PHP files via the super_submit_form AJAX action.
Detects incoming HTTP POST requests targeting the 'admin-ajax.php' endpoint with parameters associated with a malicious file upload exploit against Elementor Pro (CVE-2026-32475). The rule specifically looks for the 'elementor_pro_forms_send_form' action and the presence of PHP file extensions within form fields, indicating an attempt to upload a web shell.
Detects Server-Side Request Forgery (SSRF) attempts targeting an MLflow server where an attacker-controlled HTTP redirect response forces the server to reach out to the cloud instance metadata service at 169.254.169.254. This rule specifically looks for HTTP 30x redirect status codes where the Location header contains the sensitive metadata service IP address.
Detects Server-Side Request Forgery (SSRF) attempts targeting an MLflow server where an attacker-controlled HTTP redirect response forces the server to reach out to the cloud instance metadata service at 169.254.169.254. This rule specifically looks for HTTP 30x redirect status codes where the Location header contains the sensitive metadata service IP address.
Detects potential exfiltration activity by identifying HTTP POST/PUT requests to known suspicious domains, including specific operator-controlled hosts and anonymous file sharing services, as well as the use of HTTP Range headers for bulk API data exfiltration.
Detects indicators of cross-site scripting (XSS) attacks aimed at stealing web session cookies. The rule covers the injection of malicious scripts into client responses, anomalous CORS preflight responses that could facilitate data exfiltration, and subsequent HTTP callbacks or beaconing containing cookie data to external endpoints.
Detects Server-Side Request Forgery (SSRF) attempts against Grafana instances using the 'X-Grafana-URL' header. The rule identifies requests attempting to access internal network ranges, link-local addresses, or cloud metadata endpoints (e.g., 169.254.169.254, localhost) via the Grafana MCP interface, particularly when non-GET HTTP methods are used to potentially mutate internal resources.
Detects outbound HTTP POST requests to suspicious .ru domains and DNS queries for these domains, indicative of C2 beaconing activity likely associated with a supply chain compromise affecting the Pub.dev ecosystem.
Detects anomalous outbound HTTP traffic directed to /cli/check containing a specific 'X-CLI-Token' header value. This pattern is indicative of a Command and Control (C2) beaconing mechanism used by a compromised CLI tool or supply chain implant to verify connectivity or receive instructions.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects high-frequency PUT requests to known S3-compatible cloud storage providers using the rclone user-agent, which is a common indicator of bulk data exfiltration or unauthorized backup activity by attackers.
Detects HTTP traffic patterns associated with the JSCeal malware family, specifically focusing on the exfiltration of crypto wallet information and account balances. The rule identifies communication to suspicious domains, unauthorized access to balance field names, and the masquerading of traffic to impersonate legitimate exchanges like Binance.
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