PYSEC-2026-3168

    Dashboard / Vulnerabilities / PYSEC-2026-3168

    PYSEC-2026-3168

    Published: 9 Jul 2026Last Modified: 13 Jul 2026

    Summary: TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

    Details: ### Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor: ```python import tensorflow as tf tf.reshape(tensor=[[1]],shape=tf.constant([0 for i in range(255)], dtype=tf.int64)) ``` This is another instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (https://github.com/advisories/GHSA-prcg-wp5q-rv7p). ### Patches We have patched the issue in GitHub commit [61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555](https://github.com/tensorflow/tensorflow/commit/61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Kang Hong Jin from Singapore Management University.

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:pypi/tensorflow

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -2.7.2

    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-2026-3168 | CVE-DB