Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,265 detections
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Detects instances where the Claude Code AI assistant CLI or related node processes spawn command-line shells (such as cmd, powershell, bash, sh, zsh), followed by system firewall rule modifications on the same device within a 4-hour window.
Detects suspicious post-exploitation activities, reconnaissance, and command execution originating from web server and PHP lineage processes, indicating potential webshell activity or compromised web applications.
Detects PHP memory exhaustion errors ('Allowed memory size exhausted') logged via syslog, which may indicate resource exhaustion, denial of service attempts, or exploitation attempts against PHP-based web applications.
Detects when a Java or JavaW process spawns a Unix shell (bash, sh, dash) with command-line arguments indicative of a reverse shell utilizing /dev/tcp and interactive shell flags.
Detects a sequence where a Codex agent process executes a shell or command interpreter, followed by logging or monitoring tampering activity on the same device within a 30-minute window.
Detects a suspicious sequence where a client IP performs a brute-force attack against WordPress login or XML-RPC endpoints followed by enumeration of the wp-json REST API.
Detects web server processes (such as apache2, httpd, nginx, php-fpm) spawning a shell or curl process that performs LDAP queries using curl against URLs. This activity is indicative of Remote Code Execution (RCE) vulnerabilities being exploited against web applications to perform internal reconnaissance or LDAP enumeration.
Correlates per-device reads of .env secret files by utility commands (such as cat, grep, findstr) with subsequent or preceding Prisma Studio or database activity within a 30-minute window, indicating potential credential theft or unauthorized database management tool usage.
Detects instances where the Apache web server spawns a shell process (sh, dash, bash) which subsequently executes common discovery or callback utilities (such as id, curl, wget, php, hostname, or uname), typically indicative of web application exploitation or remote code execution.
Detects when Node.js or NPM processes access sensitive credential files such as .npmrc, SSH private keys, or AWS credentials, followed by an outbound public network connection from the same device within a 15-minute window.
Detects the deployment of the ARTEX AI penetration testing framework via Docker/Docker-compose combined with the execution of offensive security and scanning tools (such as nmap, sqlmap, nuclei, httpx, apktool, frida) on the same host within a specified timeframe.
Detects the creation of cook.pth or cook.py in Python site-packages or dist-packages directories by package managers or interpreters, followed by a Python interpreter execution on the same device within one hour. This pattern matches the malicious supply chain behavior observed in compromised LiteLLM versions (e.g., 1.107.0) utilizing .pth auto-import chains for persistence and execution.
Detects anomalous activities associated with potential PHP2Shell exploitation or webshell deployment where a web server worker (such as Apache, HTTPD, or PHP) spawns a Unix shell containing suspicious utility tokens, drops a PHP file outside excluded directories, or creates a PHP session-derived file.
Detects outbound network connections from Python processes associated with known indicators of compromise or specific suspicious command line arguments such as cook.py, cook.pth, or privcollect.
Detects observable consequences of remote code execution on a GitLab server (CVE-2026-97229), specifically where GitLab application services (such as Puma, Sidekiq, Ruby, GitLab Rails, or GitLab Workhorse) spawn a shell or interpreter with suspicious command-line parameters or external network utilities.
Detects network connections to the npm registry (registry.npmjs.org) initiated by AI coding agent processes (such as Claude, Cursor, Copilot, Windsurf, Codeium, Aider) or by unexpected processes that are not standard package managers or browsers.
Detects the execution of the AI prompt hook script 'project_context_hook.py' or the creation/modification of the associated investigation state files (scope.md, surface.md, notes.md) within the same folder.
Detects endpoint network connections and correlates multi-stage communications associated with the ClickFix browser cache smuggling campaign, including initial payload retrieval and secondary stage/C2 communication across devices.
Detects outdated or vulnerable installations of GitLab and Ruby across devices using TVM software inventory, software vulnerabilities, process events, and file events, checking against known fixed versions for specific CVEs.
Detects DNS requests to major generative AI and Large Language Model API endpoints (such as OpenAI, Anthropic, Google Gemini, Mistral, Groq, DeepSeek, and others) initiated by processes other than standard web browsers (e.g., chrome, msedge, firefox, safari). This behavior may indicate unauthorized data exfiltration, shadow AI usage, or automated tooling/scripts interacting with LLM APIs.
Detects suspicious Ghostscript execution patterns where Python spawns Ghostscript with dangerous I/O pipe arguments or disabled SAFER mode, or where Ghostscript spawns shell interpreters.
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