protectai/modelscan

• hightopics#1

  Add specific topics to improve categorization

  Why:

  COPY-PASTE FIX

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  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

  OpenDoneDismiss
• mediumreadme#2

  Emphasize unique static analysis of serialized models in README

  Why:

  CURRENT

  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.

  COPY-PASTE FIX

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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.

  OpenDoneDismiss
• lowabout#3

  Refine the 'About' description for clarity

  Why:

  CURRENT

  Protection against Model Serialization Attacks

  COPY-PASTE FIX

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

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

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

  you: not recommended
  AI recommended (in order):

  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 recommended 9 alternatives but never named protectai/modelscan. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

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

  you: not recommended
  AI recommended (in order):

  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 recommended 7 alternatives but never named protectai/modelscan. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

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

  pass
  ✓AI named protectai/modelscan explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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

  pass
  ✓AI named protectai/modelscan explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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

  pass
  ✓AI named protectai/modelscan explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?