PYSEC-2019-222

    Dashboard / Vulnerabilities / PYSEC-2019-222

    PYSEC-2019-222

    Published: 24 Apr 2019Last Modified: 8 Nov 2023

    Summary:

    Details: Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

    References: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md

    Affected packages

    Package

    Name: tensorflow-cpu

    Purl: pkg:pypi/tensorflow-cpu

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -1.7.1

    Affected versions

    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