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    CVE-2021-37648

    TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validation. We have patched the issue in GitHub commit 9728c60e136912a12d99ca56e106b7cce7af5986. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

    Published:Aug 12, 2021
    Last Modified:Nov 21, 2024
    EPS:Aug 12, 2021
    EPSS Score:0.00014
    CVSS Score:7.8

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    No exploit reference

    Common Weakness Enumeration

    Common Attack Pattern Enumeration and Classification (CAPEC)

    No CAPEC recorded yet

    Related CVEs

    Common Vulnerability Scoring System

    Attack Vector
    Network
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    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
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    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
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    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High