BIT-tensorflow-2020-15199

    Dashboard / Vulnerabilities / BIT-tensorflow-2020-15199

    BIT-tensorflow-2020-15199

    Published: 6 Mar 2024Last Modified: 8 Sept 2026

    Summary: Denial of Service in Tensorflow

    Details: In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the `splits` tensor has the minimum required number of elements. Code uses this quantity to initialize a different data structure. Since `BatchedMap` is equivalent to a vector, it needs to have at least one element to not be `nullptr`. If user passes a `splits` tensor that is empty or has exactly one element, we get a `SIGABRT` signal raised by the operating system. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

    References: https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02, https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x5cp-9pcf-pp3h, https://nvd.nist.gov/vuln/detail/CVE-2020-15199

    Affected packages

    Package

    Name: tensorflow

    Purl: pkg:bitnami/tensorflow

    Affected ranges

    Type: SEMVER

    Events:

    Introduced- 2.3.0
    Fixed -2.3.1

    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
    BIT-tensorflow-2020-15199 | CVE-DB