PYSEC-2022-100

    Dashboard / Vulnerabilities / PYSEC-2022-100

    PYSEC-2022-100

    Published: 4 Feb 2022Last Modified: 13 Jul 2026

    Summary:

    Details: Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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/448a16182065bd08a202d9057dd8ca541e67996c, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7

    Affected packages

    Package

    Name: tensorflow-cpu

    Purl: pkg:pypi/tensorflow-cpu

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -448a16182065bd08a202d9057dd8ca541e67996c

    Affected versions

    1.15.0

    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-2022-100 | CVE-DB