CVE-2021-37680

    Dashboard / Vulnerabilities / CVE-2021-37680

    CVE-2021-37680

    Published: 12 Aug 2021Last Modified: 7 Aug 2026

    Summary:

    Details: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

    References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr, https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f

    Affected packages

    Package

    Name:

    Purl:

    Affected ranges

    Type: GIT

    Events:

    Introduced- b36436b087bd8e8701ef51718179037cccdfc26e
    Fixed -7462dcaae1e8cfe1dfd0c62dd6083f9749a9d827

    Affected versions

    2.5.0

    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
    CVE-2021-37680 | CVE-DB