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    CVE-2021-29579

    TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGrad` is vulnerable to a heap buffer overflow. The implementation(https://github.com/tensorflow/tensorflow/blob/ab1e644b48c82cb71493f4362b4dd38f4577a1cf/tensorflow/core/kernels/maxpooling_op.cc#L194-L203) fails to validate that indices used to access elements of input/output arrays are valid. Whereas accesses to `input_backprop_flat` are guarded by `FastBoundsCheck`, the indexing in `out_backprop_flat` can result in OOB access. 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:0.00018
    CVSS Score:2.5

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcvhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-79fv-9865-4qcv

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    Common Vulnerability Scoring System

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