CVE-2021-41196

    Dashboard / Vulnerabilities / CVE-2021-41196

    CVE-2021-41196

    Published: 5 Nov 2021Last Modified: 7 Aug 2026

    Summary:

    Details: 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.

    References: https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b, https://github.com/tensorflow/tensorflow/issues/51936, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- 0
    Fixed -64918868e2154b06c7479347a59a4230f785e9fa

    Affected versions

    v2.4.3
    v2.4.2
    v2.4.1
    v2.4.0
    v2.4.0-rc4
    v2.4.0-rc3
    v2.4.0-rc2
    v2.4.0-rc1
    v2.4.0-rc0

    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
    CVE-2021-41196 | CVE-DB