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CVE-2021-37639

CVE-2021-37639 · Null pointer dereference and heap OOB read 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. When restoring tensors via raw APIs, if the tensor name is not provided, TensorFlow can be tricked into dereferencing a null pointer. Alternatively, attackers can read memory outside the bounds of heap allocated data by providing some tensor names but not enough for a successful restoration. The [implementation](https://github.com/tensorflow/tensorflow/blob/47a06f40411a69c99f381495f490536972152ac0/tensorflow/core/kernels/save_restore_tensor.cc#L158-L159) retrieves the tensor list corresponding to the `tensor_name` user controlled input and immediately retrieves the tensor at the restoration index (controlled via `preferred_shard` argument). This occurs without validating that the provided list has enough values. If the list is empty this results in dereferencing a null pointer (undefined behavior). If, however, the list has some elements, if the restoration index is outside the bounds this results in heap OOB read. We have patched the issue in GitHub commit 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622. 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 8.4 · 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: < 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622
    • 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: < 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622
    • 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: < 9e82dce6e6bd1f36a57e08fa85af213e2b2f2622
    • 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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