PYSEC-2021-650

    Dashboard / Vulnerabilities / PYSEC-2021-650

    PYSEC-2021-650

    Published: 14 May 2021Last Modified: 6 Dec 2023

    Summary:

    Details: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/496c2630e51c1a478f095b084329acedb253db6b/tensorflow/core/kernels/conv_grad_shape_utils.cc#L130) does a modulus operation where the divisor is controlled by the caller. 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.

    References: https://github.com/tensorflow/tensorflow/commit/fca9874a9b42a2134f907d2fb46ab774a831404a, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r4pj-74mg-8868

    Affected packages

    Package

    Name: tensorflow-gpu

    Purl: pkg:pypi/tensorflow-gpu

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -fca9874a9b42a2134f907d2fb46ab774a831404a

    Affected versions

    0.12.0
    0.12.1

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2021-650 | CVE-DB