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scikit-learn - 4 審計
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最新 中風險Jan 17, 2026, 06:57 AM
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📁 檔案系統存取 (7)
偵測到的模式
Dynamic import() expressionRuby/shell backtick executionPython file write/appendSystem reconnaissanceTemp file creationCertificate/key filesWeak cryptographic algorithmHardcoded URLC2 keywords[HEURISTIC] DANGEROUS COMBINATION: Code execution + Network + Credential access[HEURISTIC] SUSPICIOUS COMBINATION: Filesystem + Credentials + Network
審計版本 3
中風險Jan 17, 2026, 06:57 AM
AI analysis failed after multiple attempts - MANUAL REVIEW REQUIRED before publishing. This skill cannot be auto-published until reviewed by a human.
10
已掃描檔案
4,561
分析行數
4
發現項
claude
審計者
未發現安全問題
風險因素
⚡ 包含腳本 (7)
⚙️ 外部命令 (500)
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📁 檔案系統存取 (7)
偵測到的模式
Dynamic import() expressionRuby/shell backtick executionPython file write/appendSystem reconnaissanceTemp file creationCertificate/key filesWeak cryptographic algorithmHardcoded URLC2 keywords[HEURISTIC] DANGEROUS COMBINATION: Code execution + Network + Credential access[HEURISTIC] SUSPICIOUS COMBINATION: Filesystem + Credentials + Network
審計版本 2
安全Jan 12, 2026, 04:05 PM
The static analysis findings are predominantly false positives. The detected 'external_commands' are actually Python import statements and code examples, not shell executions. The 'C2 keywords' and 'weak cryptographic algorithm' findings appear to be erroneous pattern matches with no actual security implications. This is a legitimate educational resource for scikit-learn.
9
已掃描檔案
4,298
分析行數
5
發現項
claude
審計者
低風險問題 (1)
Hardcoded URLs in documentation
Documentation contains links to external scikit-learn documentation resources
風險因素
審計版本 1
安全Jan 5, 2026, 04:23 PM
This skill contains only educational documentation and example scripts for scikit-learn. No malicious code detected. All files are legitimate machine learning examples using standard scikit-learn functionality.
11
已掃描檔案
2,724
分析行數
1
發現項
claude
審計者
未發現安全問題