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CVE-2020-15199

CVE-2020-15199 · Denial of Service in Tensorflow

This page contains facts from public vulnerability sources. Check the original advisory before updating.

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.

CVSS 5.9 · Medium · EPSS 0.8% · Fix available

Published
Updated

Stack: python

Affected products and versions

  • tensorflow

    Versions
    • = 2.3.0: Affected

    No fix published

  • tensorflow PyPI

    Versions
    • 2.3.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.1

    Update to 2.3.1

  • tensorflow-cpu PyPI

    Versions
    • 2.3.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.1

    Update to 2.3.1

  • tensorflow-gpu PyPI

    Versions
    • 2.3.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.1

    Update to 2.3.1

  • tensorflow PyPI

    Versions
    • 0.12.0rc0
    • 0.12.0rc1
    • 0.12.0
    • 0.12.1
    • 1.0.0
    • 1.0.1
    • 1.1.0rc0
    • 1.1.0rc1
    • 1.1.0rc2
    • 1.1.0
    • 1.2.0rc0
    • 1.2.0rc1
    • 1.2.0rc2
    • 1.2.0
    • 1.2.1
    • 1.3.0rc0
    • 1.3.0rc1
    • 1.3.0rc2
    • 1.3.0
    • 1.4.0rc0
    • 1.4.0rc1
    • 1.4.0
    • 1.4.1
    • 1.5.0rc0
    • 1.5.0rc1
    • 1.5.0
    • 1.5.1
    • 1.6.0rc0
    • 1.6.0rc1
    • 1.6.0
    • 1.7.0rc0
    • 1.7.0rc1
    • 1.7.0
    • 1.7.1
    • 1.8.0rc0
    • 1.8.0rc1
    • 1.8.0
    • 1.9.0rc0
    • 1.9.0rc1
    • 1.9.0rc2
    • 1.9.0
    • 1.10.0rc0
    • 1.10.0rc1
    • 1.10.0
    • 1.10.1
    • 1.11.0rc0
    • 1.11.0rc1
    • 1.11.0rc2
    • 1.11.0
    • 1.12.0rc0
    • 1.12.0rc1
    • 1.12.0rc2
    • 1.12.0
    • 1.12.2
    • 1.12.3
    • 1.13.0rc0
    • 1.13.0rc1
    • 1.13.0rc2
    • 1.13.1
    • 1.13.2
    • 1.14.0rc0
    • 1.14.0rc1
    • 1.14.0
    • 1.15.0rc0
    • 1.15.0rc1
    • 1.15.0rc2
    • 1.15.0rc3
    • 1.15.0
    • 1.15.2
    • 1.15.3
    • 1.15.4
    • 1.15.5
    • 2.0.0a0
    • 2.0.0b0
    • 2.0.0b1
    • 2.0.0rc0
    • 2.0.0rc1
    • 2.0.0rc2
    • 2.0.0
    • 2.0.1
    • 2.0.2
    • 2.0.3
    • 2.0.4
    • 2.1.0rc0
    • 2.1.0rc1
    • 2.1.0rc2
    • 2.1.0
    • 2.1.1
    • 2.1.2
    • 2.1.3
    • 2.2.0rc0
    • 2.2.0rc1
    • 2.2.0rc2
    • 2.2.0rc3
    • 2.2.0rc4
    • 2.2.0
    • 2.2.1
    • 2.2.2
    • 2.3.0rc0
    • 2.3.0rc1
    • 2.3.0rc2
    • 2.3.0
    • 2.1.4
    • 2.2.3
    Affected ranges
    • GIT: < 3cbb917b4714766030b28eba9fb41bb97ce9ee02
    • ECOSYSTEM: < 2.3.1

    Update to 2.3.1

  • tensorflow-cpu PyPI

    Versions
    • 1.15.0
    • 2.1.0
    • 2.1.1
    • 2.1.2
    • 2.1.3
    • 2.1.4
    • 2.2.0
    • 2.2.1
    • 2.2.2
    • 2.2.3
    • 2.3.0
    Affected ranges
    • GIT: < 3cbb917b4714766030b28eba9fb41bb97ce9ee02
    • ECOSYSTEM: < 2.3.1

    Update to 2.3.1

  • tensorflow-gpu PyPI

    Versions
    • 0.12.0
    • 0.12.1
    • 1.0.0
    • 1.0.1
    • 1.1.0
    • 1.10.0
    • 1.10.1
    • 1.11.0
    • 1.12.0
    • 1.12.2
    • 1.12.3
    • 1.13.1
    • 1.13.2
    • 1.14.0
    • 1.15.0
    • 1.15.2
    • 1.15.3
    • 1.15.4
    • 1.15.5
    • 1.2.0
    • 1.2.1
    • 1.3.0
    • 1.4.0
    • 1.4.1
    • 1.5.0
    • 1.5.1
    • 1.6.0
    • 1.7.0
    • 1.7.1
    • 1.8.0
    • 1.9.0
    • 2.0.0
    • 2.0.1
    • 2.0.2
    • 2.0.3
    • 2.0.4
    • 2.1.0
    • 2.1.1
    • 2.1.2
    • 2.1.3
    • 2.1.4
    • 2.2.0
    • 2.2.1
    • 2.2.2
    • 2.2.3
    • 2.3.0
    Affected ranges
    • GIT: < 3cbb917b4714766030b28eba9fb41bb97ce9ee02
    • ECOSYSTEM: < 2.3.1

    Update to 2.3.1

Original sources

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