Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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Detects a non-browser process initiating network connections to four distinct commercial LLM API providers (DeepSeek, OpenRouter, Mistral, and Google Gemini) within a 5-minute interval. This behavior is indicative of a C2 pattern where an adversary uses multiple LLM backends to perform plurality-vote or redundant queries, bypassing typical browser-based AI aggregation services.
Detects the execution of the 'sckit' Go implant, a malicious binary associated with trojanized '@memtensor/memos-cloud-openclaw-plugin' or 'MemoryOS' packages. The rule identifies instances where this binary is spawned as a child process of a language runtime (Node.js or Python) when the execution originates from specific directory paths associated with these packages, or when the parent process command line indicates these packages are being initialized.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects malicious activities associated with the SCKit worm, specifically targeting package publishing via npm/twine, GitHub Actions workflow injection (runtime-update.yml), and the dropping of postinstall propagation stubs (bootstrap.cjs) when initiated by SCKit processes.
Detects the Sckit Go implant accessing sensitive local configuration and credential files, including SSH keys, cloud CLI tokens, and package manager credentials. The rule monitors for file read events initiated by processes identified as 'sckit' or processes with specific command line arguments.
Detects the installation of unauthorized AI-related browser extensions followed by outbound network communication from the browser process to known external AI service API endpoints within one hour. This behavior is indicative of potential data exfiltration via shadow AI tools, bypassing standard enterprise DLP controls.
This rule detects potential ClickFix/InstallFix attacks where a user is socially engineered to copy and paste a malicious command from a website that mimics a legitimate developer tool installation (e.g., Claude Code, NotebookLM). The detection flags the use of common download-and-execute cmdlets (e.g., irm, iwr, iex) within common Windows shell interpreters while excluding known legitimate vendor install domains.
This rule detects potential ClickFix/InstallFix attacks where a user is socially engineered to copy and paste a malicious command from a website that mimics a legitimate developer tool installation (e.g., Claude Code, NotebookLM). The detection flags the use of common download-and-execute cmdlets (e.g., irm, iwr, iex) within common Windows shell interpreters while excluding known legitimate vendor install domains.
Detects a sequence of potentially malicious local command execution (via PowerShell, cmd, or mshta) that mirrors the 'ClickFix' social engineering pattern, followed by an OAuth application consent grant or device-code authorization by the same user within a short timeframe. This behavior is indicative of an adversary attempting to bypass MFA by tricking a user into authorizing a malicious application after establishing local execution on their endpoint.
Detects the simultaneous activation of three or more distinct browser profiles on the same device within a one-hour window. This behavior is used as a proxy for browser session hijacking or 'browser sync' attacks, where an adversary bridges a compromised personal identity into a managed corporate browser environment.
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