Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,141 detections
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Detects HTTP POST requests characteristic of the Kynx Stealer's ChunkSender module. The rule monitors for specific URI patterns used during the exfiltration phase, where stolen data categories like passwords, cookies, and system information are sent to a remote C2 panel.
Detects the creation of new endpoint prevention policy rules for Windows, Linux, or macOS within the Cortex management audit logs. This activity allows security administrators to monitor changes to security posture and endpoint protection configurations.
Detects edits to existing Windows, Linux, or macOS endpoint prevention policy rules within Cortex management audit telemetry. These modifications can impact endpoint security posture, necessitating audit and verification to ensure changes were authorized and do not reduce security coverage.
This rule detects the installation of a new VS Code extension occurring in close temporal proximity to network communication with the official VS Code marketplace or unpkg domains. This pattern is designed to surface potential supply chain compromises where malicious extensions may be deployed to developers' machines.
Cortex Broker VM Collection Error
Cortex XDR
Detects error-classified data collection audit events associated with designated Cortex Broker VMs, identifying collection failures that may interrupt or degrade data ingestion.
This rule detects the use of the Frida dynamic instrumentation toolkit and the objection framework, specifically searching for command-line arguments and process names associated with their installation or use, as well as network activity on the default Frida server port (27042). It monitors for activities like SSL pinning bypass, mobile application patching, and remote agent deployment.
This rule detects potential webshell activity by monitoring the correlation between web server processes spawning suspicious child processes (e.g., cmd.exe, powershell.exe, rundll32.exe) and the creation of executable or script files within identified web directories. The logic establishes a high-confidence correlation when both events occur on the same device within a 15-minute window, while also surfacing uncorrelated individual process spawns or suspicious file writes as lower-confidence indicators. It includes exclusions for known administrative and deployment processes to reduce noise.
Detects instances where AI coding assistants (e.g., Cursor, Claude, Copilot) are observed interacting with specific configuration or sensitive files and subsequently initiating suspicious shell commands. The rule correlates file read activity (containing keywords like 'skill', 'preflight', '.ssh', or '.aws') followed closely by execution of potentially malicious commands like 'whoami /priv', credential decoding, or registry exploration, indicating potential abuse of the assistant's context.
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.
Detects file creation, write, or rename operations to specific paths known to be used in exploitation of CVE-2026-63077.
Detects command-line activity indicative of attempts to disable, bypass, uninstall, or interfere with the Netskope security agent functionality on an endpoint.
Suricata signature chain detecting a burst of 20+ 592-byte ExtChild AddObj annotation messages from a single source within 5 seconds (heap-spray pattern), followed by a RemoveObj/ModifyObj teardown operation consistent with dispatch through a corrupted vtable pointer — the full CVE-2026-53414 heap overflow and control-flow hijack chain.
Suricata signature for a Zoom annotation PDU carrying opcode 0x10001 (AddObj) delivered on the downstream acknowledgement channel (which should only carry 0x10002/AddObjAck), indicating sender-role/opcode confusion that lets any participant forge presenter-privileged annotation objects (ZOOMSDAY, CVE-2026-53413/53414/53415).
Detects JWR phishing framework client engine script via known SHA256 hashes (standalone high-confidence), or the co-occurrence of anti-debug check, staging path structure, and Simplified Chinese operator status strings
This rule identifies network connections using deprecated, insecure TLS versions (TLS 1.0, 1.1) or weak cipher suites (RC4, 3DES, NULL). The use of these legacy cryptographic protocols is a security risk, as they are vulnerable to various attacks like man-in-the-middle, and may indicate misconfigured servers, legacy infrastructure, or attempts by an adversary to downgrade encryption to facilitate traffic interception or inspection.
Linux su Login Shell Invocation
Cortex XDR
Detects the invocation of the 'su' command with a login-shell style argument (e.g., 'su -'), which is used to switch user contexts and potentially elevate privileges.
Linux Ngrok Free Tunnel Domain Observed
Cortex XDR
Detects network or process telemetry containing the 'ngrok-free.app' domain, which indicates the use of ngrok tunnels to expose local services to the internet, potentially bypassing inbound firewall controls or serving as an unauthorized command-and-control channel.
Detects Cortex-managed endpoints that are currently in a disconnected state and are cross-referenced against an inventory of critical or sensitive assets. This rule highlights potential gaps in security monitoring and visibility for high-value systems.
This rule analyzes recent agent telemetry to identify and summarize the distribution of local agent vendors present in the environment over a 30-day lookback period. It extracts vendor information from agent metadata and provides a frequency count to assist in auditing deployed infrastructure agents.
This rule detects potentially malicious command execution (RCE) originating from AI orchestration platforms and development runtimes (such as Ollama, LangChain, AutoGen, CrewAI, n8n, Node.js, and Python). It flags instances where these processes spawn command shells (cmd.exe, powershell.exe, bash, sh) and execute suspicious command-line patterns indicative of code injection or command execution (e.g., eval(), exec(), subprocess, child_process). The rule uses a threshold of 3 or more occurrences in a 15-minute window per device and process to reduce noise.
Detects command-line activity indicating an attempt to extract generic passwords from Google Chrome or Brave browser credential storage, often associated with tools that access the 'Safe Storage' or similar password databases.
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