PYSEC-2022-135

    Dashboard / Vulnerabilities / PYSEC-2022-135

    PYSEC-2022-135

    Published: 4 Feb 2022Last Modified: 13 Jul 2026

    Summary:

    Details: Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

    References: https://github.com/tensorflow/tensorflow/commit/5b491cd5e41ad63735161cec9c2a568172c8b6a3, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j3mj-fhpq-qqjj

    Affected packages

    Package

    Name: tensorflow-gpu

    Purl: pkg:pypi/tensorflow-gpu

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -5b491cd5e41ad63735161cec9c2a568172c8b6a3

    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-2022-135 | CVE-DB