Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the macOS.Gaslight embedded Python collection module executing sequential reconnaissance functions: collect_system_info(), collect_running_processes(), collect_applications(), and collect_terminal_history() via ps aux and system_profiler, consistent with DPRK-aligned macOS.Gaslight stealer activity.
Detects shell commands querying attacker-controlled domains disguised as Apple driver stores to fetch malicious macOS backdoors, specifically looking for 'coreaudiod' or 'audio-issue-fix.sh' in the URL.
Detects the sudo phishing routine writing the XOR-encoded stolen macOS user password to the hidden ~/.zsh_cache file.
Detects indicators of an npm infostealer campaign, specifically identifying the execution of obfuscated JavaScript payloads disguised as font files (e.g., fa-solid-400.woff2) or eslint-loaders by Node.js, and the creation of a '_V' file used as a persistence marker to prevent redundant execution.
Detects anomalous activity associated with Amazon Q processes, including unauthorized access to SSH agent binaries, attempts to read SSH configuration files or keys in ~/.ssh/, and suspicious outbound network connections over port 22, potentially indicating lateral movement.
Detects the creation or modification of '.amazonq.mcp.json' files associated with the Model Context Protocol (MCP) in VS Code or similar IDE environments, alongside the subsequent spawning of shell interpreters (bash, sh, cmd, powershell, python, npx) from these IDE processes. The rule further flags these events as 'HIGH' priority if the command line references sensitive patterns like AWS credentials or SSH/AWS paths, suggesting potential credential harvesting or unauthorized post-exploitation activity originating from the IDE environment.
Detects instances where the Amazon Q language server or VS Code extension host spawns suspicious child processes, such as shells, interpreters (python, bash, powershell), or utilities commonly used to query or extract AWS cloud credentials.
Detects instances where common shell or command-line tools are spawned by Amazon Q processes (amazonq-language-server) or development-related processes (Code.exe, node) shortly after the creation or access of the 'mcp.json' configuration file within an '.amazonq' directory. This behavior may indicate an attacker using development tool vulnerabilities or compromised extensions to execute arbitrary commands.
Detects the creation of an mcp.json file within the .amazonq directory, followed shortly by the execution of suspicious child processes (bash, python, curl, etc.) by VS Code (Code.exe). This pattern is often indicative of an adversary abusing developer tools or IDE extensions to perform credential discovery or data exfiltration from a development environment.
Detects outbound network communication from node.exe to the domain 'stitch-production.org'. This domain is associated with the 'Miasma' (also known as Mini Shai-Hulud) campaign, which uses malicious npm packages with post-install scripts to steal developer credentials, including Git, Docker, SSH, and cloud service configuration files.
This rule detects DNS queries to known public tunneling service domains, such as devtunnels.ms, loophole.site, loca.lt, and bore.pub, originating from processes other than the legitimate developer tunneling tools (devtunnel.exe, code.exe, code-tunnel.exe). This activity is highly indicative of unauthorized remote access or command-and-control communication.
Detects the initial stage of the Meow RAT ClickFix campaign, specifically targeting fileless zsh loaders. This rule identifies command-line executions involving 'zsh', 'bash', or 'sh' that combine 'eval', 'base64', 'gzip', and either 'curl' or 'osascript', often with redirection to /dev/null. This pattern is indicative of a gzip+base64 encoded heredoc being fetched via curl and executed in memory, followed by osascript for further actions.
Detects command line activity indicative of an attempt to access or extract browser-related files such as 'Cookies' or 'Local State', which are commonly associated with session theft or credential harvesting from major web browsers like Chrome, Firefox, Edge, and Safari.
Looks for various IDE processes making network connections direct to IP. Excludes private IP ranges but might need contextual exclusions too for environment
This rule detects network connections made to specific non-standard ports (7777, 8080, 8443) where the remote URL contains substrings associated with proxy or tunneling activities ('proxy', 'tunnel', 'hide'). This behavior is commonly associated with malware attempting to evade security controls by routing traffic through unauthorized intermediaries or obfuscated tunnels.
Detects the macOS script reading a downloaded text file, decoding the Base64 contents, and piping it to execution.
Detects outbound network connections from workstations or servers to common message broker ports (MQTT 1883/8883, AMQP 5672). These protocols are sometimes abused for command-and-control (C2) communication, as they allow for pub/sub messaging patterns that can blend into legitimate network traffic.
This rule detects the use of JSON-RPC 'eth_call' by a non-browser process during network connection events. It specifically looks for network activity where the process is not a known web browser (Chrome, Edge, Firefox) and the network traffic or command line contains the string '"method":"eth_call"'. This behavior is often associated with malware or cryptocurrency-related threats attempting to resolve dynamic commands or addresses.
This rule detects network connections where a non-browser process (specifically excluding Chrome, Edge, and Firefox) attempts to resolve dynamic commands or addresses using the JSON-RPC 'eth_call' method. It specifically targets scenarios where this activity is associated with known malware structures like SessionGate, Remus, or AnimateClipper, rather than a standalone executable name. The detection logic looks for 'eth_call' in either the DomainName or the ContextProcessCommandLine fields during network connection events.
This rule detects the use of JSON-RPC 'eth_call' by a non-browser process during network connection events. It specifically looks for network activity where the process is not a known web browser (Chrome, Edge, Firefox) and the network traffic or command line contains the string '"method":"eth_call"'. This behavior is often associated with malware like SessionGate, Remus, or AnimateClipper attempting dynamic command or address resolution related to blockchain interactions.
Detects unauthorized processes reading, copying, or renaming Kerberos ticket cache files (ccache) located in common temporary directories. This behavior is often associated with credential theft and potential Pass the Ticket attacks where adversaries attempt to extract session credentials to perform lateral movement or privilege escalation.
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