Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,133 detections
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Detects attempts to exploit a vulnerability (CVE-2026-68536) in the Apache MyFaces JSF resource handler. The rule monitors for malicious URI parameters ('ln' or 'library') that attempt Server-Side Request Forgery (SSRF) targeting cloud metadata services, path traversal, or URI-based injection attacks.
This rule detects attempts to exploit CVE-2026-93647, a Stored Cross-Site Scripting (XSS) vulnerability in the Zimbra Classic Webclient. The exploit involves injecting malicious script tags or JavaScript event handlers into calendar fields such as SUMMARY, DESCRIPTION, or LOCATION. The detection monitors inbound TCP traffic on web ports used by the application, specifically looking for common XSS injection patterns within calendar-related fields.
Detects potential SQL injection attempts targeting Cisco AsyncOS Email Gateways via the SMTP DATA command. The rule monitors for malicious patterns, specifically those attempting to execute unauthorized commands or database queries (such as COPY TO PROGRAM or embedded SQL statements) within SMTP traffic.
Detects a potential automated exploit sweep or brute-force attempt, identified by a high frequency of HTTP requests (GET or POST) directed to the same URI from a single source IP address within a short time frame.
Detects inbound HTTP POST requests directed at common paths associated with self-hosted OpenAI-compatible LLM inference APIs, such as LocalAI or vLLM. This rule identifies potentially unauthorized or unintended public exposure of internal LLM infrastructure, which could lead to unauthorized model usage, information disclosure, or exploitation of the inference engine.
Detects a suspicious sequence of events where a known web server process (e.g., IIS, Nginx, Apache) spawns a command shell process, followed shortly by the creation of a file with a web shell-like extension (.aspx, .jsp, .php) in the same environment. This pattern is indicative of an adversary exploiting a public-facing application to upload and potentially access a web shell.
Detects anomalous access to the SharePoint WebPartPages.asmx SOAP endpoint, specifically using the GetWebPartPageConnectionInfo method. This query identifies patterns consistent with the exploitation of CVE-2026-65660, where adversaries attempt to smuggle WebPart template markup (e.g., <%@ Register, XamlServices) after legitimate preview methods have been disabled.
Detects a suspicious sequence of events where a common internet-facing server process (e.g., w3wp.exe, nginx.exe) spawns a potentially malicious child process (e.g., cmd.exe, powershell.exe), followed shortly thereafter by mass file modifications on the same host, which is characteristic of ransomware behavior following initial exploitation.
Detects a suspicious sequence of events where a common internet-facing server process (e.g., w3wp.exe, nginx.exe) spawns a potentially malicious child process (e.g., cmd.exe, powershell.exe), followed shortly thereafter by mass file modifications on the same host, which is characteristic of ransomware behavior following initial exploitation.
Detects Server-Side Request Forgery (SSRF) attempts targeting SonicWall SMA1000 WorkPlace endpoints. The rule monitors both HTTP GET query parameters and HTTP request bodies for patterns indicating attempts to redirect the application to internal loopback addresses or local network ranges (e.g., 127.0.0.1, 169.254.169.254, RFC1918 private subnets).
Detects activity from known Storm-3168 (JADEPUFFER) campaign IP addresses across Azure control-plane, sign-in, and App Service logs. The rule monitors for malicious indicators in Azure Activity logs, Azure Sign-in logs, and Service Principal sign-ins, as well as specific sensitive URI paths (e.g., shells, admin login paths) within App Service HTTP logs.
Detects activity from known Storm-3168 (JADEPUFFER) campaign IP addresses across Azure control-plane, sign-in, and App Service logs. The rule monitors for malicious indicators in Azure Activity logs, Azure Sign-in logs, and Service Principal sign-ins, as well as specific sensitive URI paths (e.g., shells, admin login paths) within App Service HTTP logs.
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 web requests targeting Oracle PeopleSoft Integration Broker (PSIGW) endpoints that contain suspicious query parameters associated with exploitation attempts, such as path traversal sequences, command injection patterns, or Java-based class invocations. This rule is designed to identify exploitation attempts against PeopleSoft systems as observed in the mid-2026 ShinyHunters zero-day campaign.
Detects anomalous child processes, such as shells or interpreters, spawned by web server processes (PHP-FPM, Apache, Nginx). This behavior is often indicative of exploitation attempts, such as Remote Code Execution (RCE) via web application vulnerabilities.
Detects a sequence of potentially malicious activity targeting LLM-related API endpoints. The rule identifies a client IP performing rapid, distinct endpoint discovery, followed by a POST request to sensitive paths, and concluding with a spike in 5xx server-side errors, indicating potential exploitation attempts or fuzzing against Large Language Model interfaces.
Detects a sequence of potentially malicious activity targeting LLM-related API endpoints. The rule identifies a client IP performing rapid, distinct endpoint discovery, followed by a POST request to sensitive paths, and concluding with a spike in 5xx server-side errors, indicating potential exploitation attempts or fuzzing against Large Language Model interfaces.
This rule detects attempts to exploit a pre-authentication path traversal and unsafe file-upload vulnerability (CVE-2026-93616) in Check Point Management Server. It monitors web server logs for specific application-level error messages related to ReflectionUtils failure and suspicious path traversal sequences (../) in request URLs.
Detects unauthorized HTTP requests to sensitive Cisco Identity Services Engine (ISE) API and administrative paths (/ers/, /admin/, /api/). The rule specifically looks for incoming requests that lack both an Authorization header and a Cookie header, which is indicative of potential exploitation attempts against vulnerabilities such as CVE-2026-76460, where authentication mechanisms might be bypassed or ignored.
Detects evidence of indirect prompt injection attacks where an adversary introduces malicious instructions into data sources retrieved by an LLM or agent. The rule identifies common obfuscation and override techniques, including the use of zero-width characters, HTML comments for prompt breaking, base64 encoded instruction verbs, and specific override phrases within retrieved documents or tool outputs.
Detects the execution of suspicious child processes (e.g., cmd.exe, powershell.exe, bash, wget) spawned by processes associated with public-facing appliances like Fortinet SSL-VPN, Veeam Backup & Replication, Citrix ADC, and cPanel/WHM. This behavior is often indicative of exploitation of public-facing applications (T1190) for initial access, frequently associated with ransomware actors targeting unpatched infrastructure.
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