Arnold Chan
@slazTrusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,181 views
7,555 detections
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394
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924
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4,191
1,622
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676
676
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2,820
1,003
991
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2,087
1,520
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536
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38
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477
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554
156
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86
18
Detects instances where AI-based coding or agent-driven tools (e.g., Cursor, Claude Code, AutoGPT) perform suspicious file archiving/packaging activities followed by network egress to unauthorized or known exfiltration-prone services. This helps identify potential data exfiltration by AI agents or compromised development environments.
Detects instances where AI-based coding or agent-driven tools (e.g., Cursor, Claude Code, AutoGPT) perform suspicious file archiving/packaging activities followed by network egress to unauthorized or known exfiltration-prone services. This helps identify potential data exfiltration by AI agents or compromised development environments.
Detects AI coding assistants and LLM agent frameworks attempting to access, read, or export sensitive credential files, registry hives, or application secrets. The rule monitors both file system operations on known secret locations and process execution patterns indicative of credential dumping or API token retrieval by these tools.
Detects AI coding assistants and LLM agent frameworks spawning shell processes or interpreters to execute potentially malicious commands. The rule monitors for suspicious activity often associated with download cradles, credential access, reconnaissance, or persistence, while excluding standard interactive terminal usage.
Detects AI coding assistants and LLM agent frameworks spawning shell processes or interpreters to execute potentially malicious commands. The rule monitors for suspicious activity often associated with download cradles, credential access, reconnaissance, or persistence, while excluding standard interactive terminal usage.
Detects the execution of known development, scripting, and administrative tools (e.g., Python, Node.js, GCC, Docker) from non-standard or unauthorized file paths. The rule leverages allowlists for process names, publishers, and trusted installation directories to identify potentially unauthorized usage of powerful tooling often abused by attackers for post-exploitation activities.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
Detects parent process ID (PPID) spoofing associated with RMMCRAT and other HVNC malware, where an injected process (e.g., smartscreen.exe) spawns child processes while spoofing explorer.exe as the parent. The rule monitors for a mismatch between the reported parent (explorer.exe) and the actual creator (smartscreen.exe) and focuses on burst activity of common shell and browser processes.
Detects usage of the Android Debug Bridge (ADB) 'pair' command initiated by processes other than known legitimate Android development tools (e.g., adb.exe, Android Studio). This may indicate an attacker attempting to wirelessly pair a malicious device or gain unauthorized access to an Android device over the network.
Detects usage of the Android Debug Bridge (ADB) 'pair' command initiated by processes other than known legitimate Android development tools (e.g., adb.exe, Android Studio). This may indicate an attacker attempting to wirelessly pair a malicious device or gain unauthorized access to an Android device over the network.
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