Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects web requests targeting sensitive Jenkins/CI-CD administrative and build-triggering endpoints, such as /script, /manage, and /job/*/build. These paths are high-value targets for reconnaissance and automated exploitation efforts. This rule identifies potentially malicious activity by monitoring for access to these specific paths, which should be correlated with frequency and source data to differentiate automated scanning from authorized administrative or system activities.
Detects unauthenticated POST requests to the TorchServe Management API '/models' endpoint containing a 'url=' parameter. This pattern is indicative of an attempt to perform remote model registration, which could be leveraged for Remote Code Execution (RCE) on the server hosting the TorchServe service.
This rule detects unauthorized and potentially unauthenticated POST requests directed at the completion API endpoints (/api/v1/generate and /run/textgen) of the Oobabooga text-generation-webui, which is commonly used to host Large Language Models (LLMs). Such access, if not secured, could allow an external actor to interact with the model or potentially exploit the underlying infrastructure.
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 the use of package installation commands (pip, npm, npx) where the package name resembles popular AI/ML libraries (tensorflow, torch, openai, langchain) but is not an exact match for known legitimate versions. This is a common indicator of a typosquatting supply chain attack, where attackers attempt to trick users into installing malicious packages with similar names to trusted software.
Detects the installation of known AI-powered coding assistant extensions (e.g., Copilot, Tabnine, Cursor) on a device, followed by significant source-code repository cloning or archival activity by Git within two hours. This pattern is potentially indicative of intellectual property theft or sensitive source code exfiltration facilitated by a newly introduced AI tool.
Detects Python or Pip processes that download an image file from the network and subsequently write a native extension module (.pyd or .so) to the disk within a 10-minute window. This behavior is consistent with the extraction of a hidden malicious payload embedded within an image file using steganography.
This rule detects the use of headless or automated web browser tooling (such as Selenium, Puppeteer, Playwright, or browser-specific drivers like chromedriver) establishing network connections to popular generative AI websites. This behavior can indicate automated interaction with AI services, potential data exfiltration of internal information, or unauthorized automation.
This rule detects POST requests to the '/v2/repository/index' endpoint of a Triton Inference Server. This endpoint is part of the Model Repository control API and is typically used to manage or inspect models. Unauthorized access to this API can be indicative of reconnaissance or exploitation attempts against the inference server.
This rule detects unauthorized and unauthenticated attempts to access the Ray Dashboard API '/api/jobs' endpoint. An absence of an Authorization header in these requests indicates potential reconnaissance or exploitation attempts against an exposed Ray cluster management interface.
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 a high frequency of SSH connection attempts originating from a single source address within a short timeframe, specifically targeting the initial SSH handshake string. This is indicative of automated brute force or credential stuffing activity against SSH services.
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.
Detects browser extension updates that request a combination of high-risk permissions capable of account takeover (e.g., cookies, webRequest, identity) for extensions previously classified as low-risk. This pattern often indicates a supply chain compromise where a benign extension is acquired and subsequently updated with malicious capabilities.
Detects browser extension updates that request a combination of high-risk permissions capable of account takeover (e.g., cookies, webRequest, identity) for extensions previously classified as low-risk. This pattern often indicates a supply chain compromise where a benign extension is acquired and subsequently updated with malicious capabilities.
Detects browser extension updates that request a combination of high-risk permissions capable of account takeover (e.g., cookies, webRequest, identity) for extensions previously classified as low-risk. This pattern often indicates a supply chain compromise where a benign extension is acquired and subsequently updated with malicious capabilities.
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 the installation or execution of known MALFEX malicious packages via npm or Node.js, which are used as entry points for polyglot or disguised payload delivery.
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 outbound HTTP POST requests containing an aggregated 'LOOT' variable in the body. The rule looks for markers indicating the exfiltration of Kubernetes-related credentials, such as service account tokens, bearer tokens, or configuration secrets, as well as common environment variable dumps like API keys.
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