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CVE-2021-37652

CVE-2021-37652 · Use after free in boosted trees creation in TensorFlow

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

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.raw_ops.BoostedTreesCreateEnsemble` can result in a use after free error if an attacker supplies specially crafted arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/boosted_trees/resource_ops.cc#L55) uses a reference counted resource and decrements the refcount if the initialization fails, as it should. However, when the code was written, the resource was represented as a naked pointer but later refactoring has changed it to be a smart pointer. Thus, when the pointer leaves the scope, a subsequent `free`-ing of the resource occurs, but this fails to take into account that the refcount has already reached 0, thus the resource has been already freed. During this double-free process, members of the resource object are accessed for cleanup but they are invalid as the entire resource has been freed. We have patched the issue in GitHub commit 5ecec9c6fbdbc6be03295685190a45e7eee726ab. 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.

CVSS 7.8 · High · EPSS 0.2% · Fix available

Published
Updated

Stack: python

Affected products and versions

  • tensorflow

    Versions
    • >= 2.5.0, < 2.5.1: Affected
    • >= 2.4.0, < 2.4.3: Affected
    • < 2.3.4: Affected

    No fix published

  • tensorflow 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
    • 2.3.1
    • 2.3.2
    • 2.3.3
    Affected ranges
    • ECOSYSTEM: < 2.3.4

    Update to 2.3.4

  • tensorflow PyPI

    Versions
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.4.0, < 2.4.3

    Update to 2.4.3

  • tensorflow PyPI

    Versions
    • 2.5.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.5.0, < 2.5.1

    Update to 2.5.1

  • 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
    • 2.3.1
    • 2.3.2
    • 2.3.3
    Affected ranges
    • ECOSYSTEM: < 2.3.4

    Update to 2.3.4

  • tensorflow-cpu PyPI

    Versions
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.4.0, < 2.4.3

    Update to 2.4.3

  • tensorflow-cpu PyPI

    Versions
    • 2.5.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.5.0, < 2.5.1

    Update to 2.5.1

  • 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
    • 2.3.1
    • 2.3.2
    • 2.3.3
    Affected ranges
    • ECOSYSTEM: < 2.3.4

    Update to 2.3.4

  • tensorflow-gpu PyPI

    Versions
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.4.0, < 2.4.3

    Update to 2.4.3

  • tensorflow-gpu PyPI

    Versions
    • 2.5.0
    Affected ranges
    • ECOSYSTEM: ≥ 2.5.0, < 2.5.1

    Update to 2.5.1

  • tensorflow PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    • 2.3.3
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 5ecec9c6fbdbc6be03295685190a45e7eee726ab
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.3.4; Update to 2.4.3

  • tensorflow-cpu PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    • 2.3.3
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 5ecec9c6fbdbc6be03295685190a45e7eee726ab
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.3.4; Update to 2.4.3

  • tensorflow-gpu PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    • 2.3.3
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 5ecec9c6fbdbc6be03295685190a45e7eee726ab
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.3.4; Update to 2.4.3

Original sources

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