protectai/modelscan

• hightopics#1

  Add specific topics to improve categorization

  原因：

  复制粘贴的修复

  复制

  ml-security, model-security, ai-security, machine-learning-security, model-scanning, serialization-attacks, pytorch-security, tensorflow-security, keras-security, sklearn-security, xgboost-security, supply-chain-security

  待办完成忽略
• mediumreadme#2

  Emphasize unique static analysis of serialized models in README

  原因：

  当前

  ModelScan is an open source project from Protect AI that scans models to determine if they contain unsafe code. It is the first model scanning tool to support multiple model formats. ModelScan currently supports: H5, Pickle, and SavedModel formats. This protects you when using PyTorch, TensorFlow, Keras, Sklearn, XGBoost, with more on the way.

  复制粘贴的修复

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  ModelScan is an open source project from Protect AI that performs static analysis directly on serialized ML model files to detect embedded malicious code or insecure configurations *before* models are loaded or deployed. It is the first model scanning tool to support multiple model formats, currently including H5, Pickle, and SavedModel. This protects you when using PyTorch, TensorFlow, Keras, Sklearn, XGBoost, with more on the way.

  待办完成忽略
• lowabout#3

  Refine the 'About' description for clarity

  原因：

  当前

  Protection against Model Serialization Attacks

  复制粘贴的修复

  复制

  Scans machine learning models for unsafe code and vulnerabilities to protect against serialization attacks.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I scan machine learning models for potential security vulnerabilities before deployment?

  你：未被推荐
  AI 推荐顺序：

  1. IBM Watson OpenScale
  2. Microsoft Azure Machine Learning
  3. Azure Security Center
  4. Google Cloud Vertex AI
  5. Google Cloud Security Command Center
  6. Adversarial Robustness Toolbox (ART)
  7. OWASP Top 10 for Machine Learning
  8. DeepMind's CleverHans
  9. Snyk

  AI 推荐了 9 个替代方案，却始终没点名 protectai/modelscan。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What tools are available to detect unsafe code within AI model files?

  你：未被推荐
  AI 推荐顺序：

  1. Grype (anchore/grype)
  2. TruffleHog (trufflesecurity/trufflehog)
  3. Semgrep (semgrep/semgrep)
  4. Bandit (PyCQA/bandit)
  5. OWASP Dependency-Check (jeremylong/DependencyCheck)
  6. Microsoft Security Code Analysis (MSCA)
  7. Snyk Code

  AI 推荐了 7 个替代方案，却始终没点名 protectai/modelscan。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of protectai/modelscan?

  pass
  ✓AI 明确点名了 protectai/modelscan

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts protectai/modelscan in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 protectai/modelscan

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo protectai/modelscan solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 protectai/modelscan

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？