Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where unauthenticated users or sessions execute privileged 'tools/call' operations within the Grafana MCP dispatcher. This behavior is indicative of potential session spoofing attacks, specifically targeting vulnerabilities similar to CVE-2026-19516, where lack of an Authorization header allows unauthorized access to privileged tool functions.
Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
Detects instances of an mcp-grafana server responding with an HTTP 200 status code to a 'tools/call' request without an Authorization header, indicating potential unauthenticated remote tool execution on a vulnerable or misconfigured server.
Detects invocations of the 'grafana_api_request' tool that lack a preceding valid bearer-token authentication event for the same session. This indicates a potential scenario where a server or service account token is being used on behalf of an unauthenticated caller, bypassing normal authentication requirements for the Grafana API.
Detects upload requests targeting executable or server-side script file extensions.
Detects access to common authentication/login endpoints.
Detects HTML content that mimics Cloudflare CAPTCHA challenges to perform social engineering (ClickFix). The rule specifically identifies the combination of fake CAPTCHA UI text, connection to suspicious domains (DDR patterns), and JavaScript snippets used to fetch and execute secondary payloads or redirects.
This rule detects HTML content containing common indicators of fake Cloudflare 'Verify you are human' CAPTCHA lure pages associated with the Beamglea/ClickFix campaign. These lures often use typosquatted domains or specific API key patterns and include JavaScript code to facilitate the 'copy-and-paste' execution workflow typical of the ClickFix attack technique.
This rule detects potential unauthenticated access or unauthorized configuration modifications to an AI agent management backend. It monitors HTTP logs for requests targeting configuration endpoints that lack proper authentication, specifically identifying attempts to retrieve sensitive information like Dify or Coze keys, or attempts to inject new agent configurations via unauthenticated POST requests.
Detects access attempts to application/error/debug log files.
Detects HTTP upload requests directed to common web directory paths that contain suspicious file extensions, specifically archive formats (e.g., zip, rar, tar) or macro-enabled Office documents (e.g., docm, xlsm). This behavior is often associated with the delivery of malware payloads.
Detects Keycloak password reset attempts (UPDATE_PASSWORD) where the user has not performed the required preceding email verification (SEND_RESET_PASSWORD) and lacks a valid action-token. This pattern suggests an attempt to bypass the standard password reset workflow.
Detects malicious markdown files (SKILL.md) that impersonate agent instruction files. These files contain hidden-content constructs (like CSS display:none, HTML comments, or invisible Unicode characters) combined with common command execution patterns (like curl, wget, or PowerShell encoded commands), characteristic of infostealer campaigns targeting AI agent platforms.
Detects files that present a valid PNG magic header at the start but contain embedded PostScript instructions. This pattern is commonly used to exploit vulnerabilities in image processing libraries like Ghostscript or ImageMagick, which may attempt to process the file as PostScript despite the misleading header.
Detects high CPU utilization (exceeding 80%) on VMware ESXi hosts during non-business hours (between 22:00 and 06:00). Such activity may indicate unauthorized resource hijacking, such as cryptocurrency mining, or performance degradation due to unexpected processes.
Detects attempts to perform GraphQL introspection or discover schema details by monitoring Caddy web server logs for requests containing common GraphQL-related paths or keywords.
Detects access attempts to exposed .git, .svn, or .hg directories.
This rule monitors the health of Netskope Private Access (NPA) publishers by tracking their connectivity status, event failure rates, and latency. An alert is triggered if a publisher reports a non-connected status, demonstrates a high failure rate exceeding 10%, or exhibits significant latency spikes (greater than three times the historical average). This is intended to identify infrastructure availability issues or potential service degradation.
This rule monitors Netskope cloud application events to detect potential data exfiltration. It triggers if there is a significant volume anomaly (z-score >= 2) for any cloud application activity, or if a 'Share' or 'Upload' activity occurs that is only configured to 'Alert' rather than being blocked. This helps identify unusual spikes in data movement or sensitive operations that bypass formal enforcement controls.
This rule detects the creation of a new WordPress administrator account within a short window (15 minutes) of an anomalous authentication or registration event on the same account or session. It is designed to identify post-exploitation activity, specifically persistence mechanisms following the exploitation of web application vulnerabilities like arbitrary file uploads or authentication bypasses in WordPress plugins.
Detects devices exhibiting sustained high CPU or memory utilization (>= 90%) for a duration of at least 30 minutes, which may indicate resource exhaustion, performance degradation, or potentially malicious activity such as cryptocurrency mining, denial-of-service, or other unauthorized resource-intensive processes.
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