Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,132 detections
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Detects incoming HTTP GET requests to common Jupyter Notebook endpoints ('/tree' or '/api/kernels') that do not include a token in the URI. This behavior is indicative of an adversary attempting to interact with or explore an insecurely configured Jupyter Notebook server that lacks authentication.
Detects multiple inbound HTTP requests targeting known vulnerable application paths (e.g., cgi-bin, .env files, actuator gateways, path traversal, WordPress plugins, PHP eval files, and various server administration consoles) from a single source within a short timeframe. This behavior is indicative of an automated scanner or exploit chain attempting to identify and compromise public-facing applications.
Detects unauthenticated POST requests directed at the '/v1/completions' endpoint of a vLLM server. This behavior is indicative of potential unauthorized access or exploitation attempts against an exposed LLM inference API that lacks authentication controls.
Detects unauthenticated HTTP POST requests targeting the '/v1/graphql' endpoint of a Weaviate vector database. This pattern is indicative of reconnaissance or exploitation attempts against exposed Weaviate API instances.
This rule detects potentially malicious POST requests to SharePoint endpoints (such as AddGallery.aspx) that include indicators of WebPartMarkup or ToolPane payloads. This activity attempts to bypass the SPUtility.EnsureAuthentication() check that is typically enforced on the ToolPane.aspx page, potentially allowing unauthorized code execution or configuration manipulation.
This rule detects unauthorized process creation from the SharePoint worker process (w3wp.exe). It specifically monitors for the spawning of command-line shells or scripting engines, which is indicative of exploitation activity such as remote code execution (RCE) attempts against SharePoint services, including deserialization attacks.
Detects exploitation attempts against CVE-2026-55040 on Microsoft SharePoint Server. This vulnerability allows an attacker to bypass authentication by sending a malformed JSON Web Token (JWT) with an 'alg: none' header or an empty signature. The SharePoint server incorrectly trusts the provided token, enabling unauthorized access to sensitive API and SOAP endpoints.
This rule detects attempts to exploit CVE-2026-5027 in Langflow by identifying path traversal sequences (such as '../', '..\', or absolute paths) within the query parameters of requests directed to the '/api/v2/files' endpoint.
Detects network exploitation attempts targeting CVE-2026-82329 in JFrog Artifactory. The rule identifies path traversal, malicious Java deserialization payloads, and unauthorized access attempts to sensitive administrative API endpoints.
Detects the creation of .aspx, .ashx, or .asp files within Exchange OWA/ECP or IIS wwwroot directories by web server processes (w3wp.exe or UMWorkerProcess.exe). This pattern is consistent with web shell deployment following the exploitation of public-facing web applications, a technique often used by threat actors like APT40.
Detects incoming HTTP requests to an Artifactory deployment that utilize 'X-Forwarded-Host' and 'X-Forwarded-Scheme' headers in a manner consistent with HTTP cache poisoning attacks (CVE-2026-66384), specifically identifying when the 'X-Forwarded-Host' header contains unexpected or non-internal network values.
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 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 Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
Detects SQL injection exploitation attempts against MOVEit Transfer targeting the CVE-2023-34362 vulnerability, followed by the deployment and subsequent interaction with the 'human2.aspx' webshell associated with Cl0p ransomware mass-exploitation campaigns.
Detects anomalous, high-volume HTTP requests to AI agent orchestration endpoints (e.g., tool invocation, plugins, or webhooks) followed by suspicious process execution or outbound network connections from the same host. This behavior is indicative of RCE exploitation against an AI agent framework, such as insecure deserialization or SSRF within a plugin connector.
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.
This rule detects reconnaissance activity targeting Azure App Service instances, specifically looking for attempts to access web-shell-like files, WordPress administration paths, PHP-CGI endpoints, or LangFlow code validation paths. It identifies potential Storm-3168 actor infrastructure through known IOCs or through patterns of high-volume, path-diverse HTTP requests that deviate from typical noise, helping to distinguish targeted probing from common internet background scanning.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
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