
Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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Detects unauthorized processes (e.g., cmd.exe, powershell.exe, node.exe) accessing sensitive web browser files like 'Login Data' or 'Cookies' in common browser directories. This behavior is indicative of credential theft or data exfiltration attempts.
Detects the execution of PowerShell commands that utilize base64-encoded strings, window style arguments for obfuscation, and subsequent decoding to reveal suspicious indicators such as network downloading commands or archive manipulation, indicative of potential fileless malware staging.
Detects the execution of PowerShell commands that utilize base64-encoded strings, window style arguments for obfuscation, and subsequent decoding to reveal suspicious indicators such as network downloading commands or archive manipulation, indicative of potential fileless malware staging.
Detects unauthorized attempts to manipulate cgroup files (e.g., cgroup.procs) within Kubernetes pods using kubectl exec/attach sessions. This technique is often associated with SPIRE attestation spoofing or container escape attempts where an attacker attempts to influence process management or isolation constraints from within the container via the Kubernetes API.
Detects unauthorized attempts to manipulate cgroup files (e.g., cgroup.procs) within Kubernetes pods using kubectl exec/attach sessions. This technique is often associated with SPIRE attestation spoofing or container escape attempts where an attacker attempts to influence process management or isolation constraints from within the container via the Kubernetes API.
Detects high-frequency requests for 'tools/list' from a single source IP across multiple unique destination hosts. This pattern is indicative of a breadth-first scan attempting to identify reachable Model Context Protocol (MCP) servers, rather than typical legitimate client-to-server communication.
Detects anomalous outbound network connections from the Grafana MCP (Model Context Protocol) server process to internal private IP address ranges. The rule compares current network activity against a 14-day baseline to filter out known data sources, identifying potentially unauthorized lateral movement or internal network probing via server-side request forgery (SSRF) vulnerabilities.
Detects Server-Side Request Forgery (SSRF) attempts targeting vulnerable versions of Grafana MCP Server (versions < 1.1.0). The rule identifies requests attempting to access sensitive internal or cloud-metadata endpoints (e.g., 169.254.169.254, localhost, internal subnets) via the X-Grafana-URL header.
Detects execution patterns associated with 'NinjaMare' style malware, where a process masquerading as a browser (e.g., tenbrowser.exe, fireflybrowser.exe) performs an external IP geolocation lookup followed by suspicious registry or file modifications indicative of browser hijacking or extension installation within a five-minute window.
Detects alerts that reference specific CVEs historically exploited by the threat group QTFY against internet-facing applications, including common vulnerabilities in Pulse Secure, FortiOS, Citrix ADC, Exchange, F5 BIG-IP, Log4Shell, and others, when the alert severity is Medium or High and contains indicators of exploit or initial access.
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