Arnold Chan
@slazTrusted contributorCompletionist
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Detects outbound TCP traffic originating from the internal network destined for a known malicious IP associated with Meterpreter Java payload retrieval and post-exploitation Command and Control (C2) activity, potentially related to PaperCut vulnerability exploitation.
Detects the creation of Windows services immediately following a network logon event (Logon Type 3) using NTLM or Kerberos. The rule monitors for service names or file paths characteristic of PsExec-style remote execution tools, specifically focusing on suspicious paths (e.g., Temp, UNC paths) or file extensions (e.g., .bat, .ps1, .tmp) used by attackers to execute payloads laterally.
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.
Detects text/report artifacts (markdown, JSON, plain text) produced by an autonomous AI-driven vulnerability research pipeline that decompiles binaries, traces cross-references, hypothesizes memory-safety flaws, and generates/debugs proof-of-concept exploits
Detects anomalous activity patterns consistent with automated firmware reverse engineering pipelines, specifically correlating the high-frequency execution of firmware analysis tools (e.g., binwalk, Ghidra) with the creation of vulnerability research knowledge base artifacts. This behavioral heuristic aims to identify potential AI-driven or automated zero-day discovery workflows by tracking tool usage density and output characteristics.
Detects artifacts of the winAgent v2.0 Windows implant line, including mod_* modules, WUEngine persistence binaries, and COM/CLSID hijack strings used by AI-assisted implant development
Detects anomalous child processes spawned by a Chrome renderer process. This behavior is often indicative of exploitation attempts, such as the BlueMoon exploit kit leveraging CVE-2026-85046, where a compromised renderer attempts to escape the sandbox or execute arbitrary code in the host process.
Detects network traffic matching a list of known malicious domains and IP addresses observed in CommonSecurityLog events, tightened to reduce noise from scanners/TI feeds, sinkholed infrastructure, and generic reused IPs by requiring domain-specific selectors and deduplicating repeated matches per host.
Detects Mimikatz binary or in-memory module used for credential harvesting following PaperCut RCE exploitation
Detects Mimikatz binary or in-memory module used for credential harvesting following PaperCut RCE exploitation
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