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    CVE-2021-41196

    TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    Published:Nov 5, 2021
    Last Modified:Nov 21, 2024
    EPS:Nov 5, 2021
    EPSS Score:0.00049
    CVSS Score:5.5

    Affected Products

    Vendor
    Google
    Product
    Tensorflow

    Exploits

    https://github.com/tensorflow/tensorflow/issues/51936https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8https://github.com/tensorflow/tensorflow/issues/51936https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8

    Common Attack Pattern Enumeration and Classification (CAPEC)

    No CAPEC recorded yet

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    Common Vulnerability Scoring System

    Attack Vector
    Network
    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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    High
    Integrity
    None
    Low
    High
    Availability
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    Low
    High