Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects command line execution containing keywords associated with offensive security tools (e.g., 'metasploit', 'exploit', 'shellcode', 'payload') in conjunction with external resource indicators such as HTTP/HTTPS or FTP URLs, suggesting the download and potential execution of malicious payloads.
Detects outbound network connections to remote URLs containing keywords associated with blockchain, cryptocurrency, or Web3 technologies. This behavior may indicate an adversary utilizing blockchain services or decentralised infrastructure for command and control (C2) communication, exfiltration, or proxying.
Detects execution of InvisibleFerret backdoor logic as a Shared Object on macOS.
Detects modification of scripts in extension folders.
Detects endpoint connections directly to Kali365 PhaaS panel domains, which are associated with phishing-as-a-service operations. This rule identifies network activity to specific domains used by the Kali365 platform, indicating potential compromise or interaction with phishing infrastructure.
Detects unauthorized or anomalous modifications to local vector database files by non-standard processes.
Detects the execution of osascript used to generate deceptive "Network latency" GUI prompts, tricking the user into granting TCC permissions.
This rule detects the installation of a LaunchAgent persistence mechanism on macOS. It specifically looks for the creation of a property list (.plist) file within the '~/Library/LaunchAgents/' directory, combined with the execution of the 'launchctl load' command, which is used to load and activate LaunchAgents. This technique is commonly used by malware, including infostealers, to establish persistence and survive system reboots.
Hunts for the stealer explicitly utilizing xattr -c to strip the com.apple.quarantine extended attribute, bypassing Gatekeeper execution protections.
Identifies process execution patterns matching the open-source nord-stream tool, abused by the actor to steal GitHub Actions secrets.
Identifies a backdoored model's payload executing post-deserialization to read developer secrets (SSH keys, AWS credentials, NPM tokens) and exfiltrate them.
This rule detects a classic malicious model attack chain where a Python process reads a .pkl, .pt, or .bin model file, and immediately spawns an anomalous system shell or execution utility. This indicates potential Remote Code Execution (RCE) via deserialization vulnerabilities in machine learning models.
Detects browser processes invoking internal extension schemes and subsequently generating high volumes of network requests to e-commerce or advertising-related domains/URLs, indicating potentially malicious browser extension behavior such as affiliate tag substitution or ad-injection.
This rule monitors DNS query events to detect internal systems attempting to resolve the domain 'bluegraintours.com', which is indicative of potential command and control (C2) communication or malware activity.
Detects deployment of malicious LaunchDaemon plist files for privileged persistence
Detects a module changing protocol, destination class, or cloud service after repeated failed connections on its primary channel. This behavior is indicative of malware like Kazuar attempting to establish C2 communication through alternative means when its initial attempts fail.
Detects outbound network traffic from common web browsers (Chrome, Edge, Brave, etc.) to the typosquatted domain 'perplexity-ai.online'. This rule identifies behavior associated with a malicious browser extension ('Search for perplexity ai') that exfiltrates keystrokes and search queries captured via the browser's Omnibox functionality to an attacker-controlled server.
Detects AMOS malware forking a child process, using setsid to detach from the Terminal session, and then killing the Terminal window via killall Terminal to evade parent-process tracking. This is a key behavioral indicator of the Atomic macOS Stealer delivered via ClickFix campaigns.
Detects network traffic over port 6757, which is indicative of PureHVNC command and control (C2) communication.
This rule monitors for network connections that occur over non-standard ports (STUN, MQTT) or to specific suspicious IP addresses and domains, while excluding known legitimate user-facing applications. The detection aims to identify potentially malicious command and control (C2) communication or unauthorized network activity performed by non-standard processes.
Detects Node.js or JavaScript runtimes executing code patterns commonly associated with GlassWorm-style supply chain attacks. The campaign abuses invisible Unicode variation selectors to hide malicious payloads that are decoded and executed through eval(). Investigate execution originating from repositories, package managers, VS Code extensions, or temporary development directories.
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