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From Sigma to SentinelOne: Detecting Password Access via Notepad with Uncoder AI
- The Sigma rule targets unauthorized credential access or suspicious behavior on Windows systems by detecting Notepad opening files with names suggesting password storage.
- The rule looks for process creation events with parent process explorer.exe, child process notepad.exe, and command line containing strings like password*.txt, password*.csv, etc.
- Tagged under MITRE technique T1083 (File and Directory Discovery) and uses process_creation telemetry from Windows.
- Uncoder AI automatically translates the detection logic into SentinelOne Event Query syntax, enabling efficient threat hunting or real-time alerting.
- This translation includes mapping parent/child process relationships, command line pattern matching, and supports wildcards and multiple extensions.
- Automatically parsing Sigma YAML-based rules, Uncoder AI maps fields and logic into SentinelOne's query structure while preserving semantic intent.
- This innovation allows security teams to deploy powerful behavioral detections in SentinelOne without manual scripting.
- The capability offers rapid Sigma rule reuse, detection of unauthorized credential access, reduced engineering overhead, and better visibility into file access patterns involving sensitive keywords.
- Uncoder AI transforms abstract detections into actionable endpoint queries, facilitating proactive threat hunting in SentinelOne.
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