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Mitigation Strategies Analysis for google/jax

Mitigation Strategy: Input Validation and Sanitization for JIT Compilation

  • Description:

    1. Identify all user inputs that are used as arguments to JAX functions that are JIT-compiled (using jax.jit).
    2. Define strict validation rules for each input based on the expected data type, shape, and allowed values.
    3. Implement input sanitization to remove or escape potentially harmful characters or patterns.
    4. Parameterize JAX functions: Pass user inputs as arguments instead of embedding them directly in function definitions.
    5. Utilize JAX's shape and type annotations: Decorate JIT-compiled functions with jax.ShapeDtypeStruct or type hints to enforce expected input structures and data types.
    6. Employ abstract values during tracing (if applicable): Use abstract values (e.g., jax.ShapeDtypeStruct) when tracing JIT functions to limit the influence of concrete user data during compilation.
    7. Test input validation rigorously: Write unit tests to ensure validation and sanitization logic works as expected.

  • List of Threats Mitigated:

    • Code Injection via JIT Compilation (High Severity): Malicious user input could alter compiled code, leading to arbitrary code execution.
    • Data Corruption/Manipulation (Medium Severity): Unexpected input shapes or types could cause incorrect JAX computations.
    • Denial of Service (DoS) via Resource Exhaustion (Medium Severity): Malicious inputs could trigger resource-intensive JIT compilation.

  • Impact:

    • Code Injection via JIT Compilation: High Risk Reduction. Prevents code injection by controlling input influence on compiled code.
    • Data Corruption/Manipulation: Medium Risk Reduction. Reduces risk by enforcing expected data types and shapes.
    • Denial of Service (DoS) via Resource Exhaustion: Medium Risk Reduction. Reduces risk by limiting resource-intensive compilation from malicious inputs.

  • Currently Implemented:

    • Implemented in the API endpoint /predict for image data validation before JAX model inference.

  • Missing Implementation:

    • Input validation is less strict in the model training data preprocessing pipeline.

Mitigation Strategy: Secure Handling of Serialized JAX Objects

  • Description:

    1. Minimize serialization of JAX objects: Avoid serialization unless necessary.
    2. Restrict deserialization sources: Only deserialize from trusted and controlled sources.
    3. Implement integrity checks: Generate cryptographic signatures or checksums for serialized JAX objects.
    4. Verify integrity before deserialization: Recalculate and compare signatures/checksums before deserializing.
    5. Control access to deserialization functionalities: Limit access to code that deserializes JAX objects.
    6. Regularly review serialization/deserialization code: Audit code for potential vulnerabilities.

  • List of Threats Mitigated:

    • Deserialization Vulnerabilities (High Severity): Exploiting deserialization could lead to arbitrary code execution.
    • Object Tampering/Data Integrity Issues (Medium Severity): Modified serialized JAX objects could compromise model behavior.

  • Impact:

    • Deserialization Vulnerabilities: High Risk Reduction. Integrity checks and restricted sources reduce exploitation risk.
    • Object Tampering/Data Integrity Issues: High Risk Reduction. Integrity checks ensure object authenticity.

  • Currently Implemented:

    • Model weights are serialized and stored in private cloud storage with restricted access and checksum generation.

  • Missing Implementation:

    • Integrity verification (checksum comparison) is not implemented during model loading in the application.

Mitigation Strategy: Careful Use of Advanced JAX Features in User-Facing Applications

  • Description:

    1. Identify usage of advanced JAX features: Review codebase for features like jax.eval_shape, jax.make_jaxpr, dynamic function generation, or custom primitives in user-facing components.
    2. Assess security implications: Analyze potential risks if these features are exposed to untrusted input.
    3. Restrict access to advanced features: Limit usage to backend or internal components if possible.
    4. Implement strict validation and sanitization (if necessary): If used with user input, implement extreme validation and consider sandboxing.
    5. Regularly review usage of advanced features: Periodically review code to ensure secure usage.

  • List of Threats Mitigated:

    • Unintended Behavior or Exploitation of Advanced Features (Medium to High Severity): Misuse of advanced JAX features with untrusted input could lead to unexpected behavior or vulnerabilities.

  • Impact:

    • Unintended Behavior or Exploitation of Advanced Features: Medium Risk Reduction. Careful review, restricted usage, and validation minimize risks.

  • Currently Implemented:

    • Advanced JAX features are primarily used in internal model development, not directly user-facing.

  • Missing Implementation:

    • No formal policy on using advanced JAX features in user-facing applications. A guideline and security review process are needed for future use.