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감사 이력

scientific-visualization - 4 감사들

감사 버전 4

최신 안전

Jan 17, 2026, 06:47 AM

All 309 static findings are false positives. The scanner misidentifies hex color codes (#E69F00, etc.) as cryptographic hashes, markdown code blocks as shell execution, and configuration variables as certificate files. This is a legitimate scientific visualization library with matplotlib styling, color palettes, and figure export utilities. No actual security risks exist - the skill only manipulates local figure files and contains no network calls, external commands, or credential handling.

13
스캔된 파일
3,894
분석된 줄 수
2
발견 사항
claude
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감사 버전 3

안전

Jan 17, 2026, 06:47 AM

All 309 static findings are false positives. The scanner misidentifies hex color codes (#E69F00, etc.) as cryptographic hashes, markdown code blocks as shell execution, and configuration variables as certificate files. This is a legitimate scientific visualization library with matplotlib styling, color palettes, and figure export utilities. No actual security risks exist - the skill only manipulates local figure files and contains no network calls, external commands, or credential handling.

13
스캔된 파일
3,894
분석된 줄 수
2
발견 사항
claude
감사자
보안 문제를 찾지 못했습니다

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감사 버전 2

안전

Jan 12, 2026, 05:01 PM

The static analysis findings are overwhelmingly false positives. The 'weak cryptographic algorithm' alerts are triggered by color hex codes (e.g., #E69F00) being misidentified as hashes. The 'external commands' findings are code examples in documentation, not actual command execution. The 'certificate/key files' findings are also false positives - no actual cryptographic materials are present. This is a legitimate scientific visualization library with no security risks.

11
스캔된 파일
3,430
분석된 줄 수
2
발견 사항
claude
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🌐 네트워크 접근 (1)
⚙️ 외부 명령어 (1)

감사 버전 1

낮은 위험

Jan 4, 2026, 04:55 PM

This is a pure scientific visualization skill. It contains Python helper scripts that configure matplotlib settings and export figures to local files. No network calls, no credential access, no code execution hooks. The filesystem access is limited to saving user-specified figure outputs.

14
스캔된 파일
3,422
분석된 줄 수
3
발견 사항
claude
감사자
낮은 위험 문제 (1)
Local file write operations in export script
The figure_export.py script writes figures to local files using matplotlib's savefig functionality. The code at lines 61-95 saves figures to user-specified paths via fig.savefig(). This is expected behavior for a visualization export tool and poses minimal risk as output paths are user-controlled.