감사 이력
neuropixels-analysis - 4 감사들
감사 버전 4
최신 안전Jan 17, 2026, 06:43 AM
All 703 static findings are false positives. The scanner incorrectly flags markdown code block backticks as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. This is a legitimate neuroscience analysis toolkit using SpikeInterface and Kilosort4 for scientific research.
위험 요인
⚙️ 외부 명령어 (3)
📁 파일 시스템 액세스 (2)
🌐 네트워크 접근 (1)
감사 버전 3
안전Jan 17, 2026, 06:43 AM
All 703 static findings are false positives. The scanner incorrectly flags markdown code block backticks as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. This is a legitimate neuroscience analysis toolkit using SpikeInterface and Kilosort4 for scientific research.
위험 요인
⚙️ 외부 명령어 (3)
📁 파일 시스템 액세스 (2)
🌐 네트워크 접근 (1)
감사 버전 2
안전Jan 12, 2026, 04:10 PM
This is a legitimate scientific analysis toolkit for Neuropixels neural recordings. All 692 static findings are false positives. The scanner incorrectly flags markdown code block syntax as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. The codebase uses standard scientific libraries (SpikeInterface, Kilosort4) for legitimate neuroscience research.
위험 요인
📁 파일 시스템 액세스 (2)
🌐 네트워크 접근 (1)
감사 버전 1
낮은 위험Jan 4, 2026, 05:17 PM
This is a legitimate scientific computing toolkit for neurophysiology research. The code uses the SpikeInterface library to analyze neural recordings. No credential theft, data exfiltration, or malicious code execution patterns detected. Contains standard Python scripts for data processing.