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    CVE-2021-29610

    TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

    Published:May 14, 2021
    Last Modified:Nov 21, 2024
    EPS:May 14, 2021
    EPSS Score:0.00048
    CVSS Score:3.6

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3hhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-mq5c-prh3-3f3h

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    Common Vulnerability Scoring System

    Attack Vector
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    Physical
    Privileges Required
    None
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    High
    User Interaction
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    Scope
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    Changed
    Confidentiality
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    Integrity
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    High
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