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CVE-2021-37647

CVE-2021-37647 · Null pointer dereference in `SparseTensorSliceDataset` 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 a user does not supply arguments that determine a valid sparse tensor, `tf.raw_ops.SparseTensorSliceDataset` implementation can be made to dereference a null pointer. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L240-L251) has some argument validation but fails to consider the case when either `indices` or `values` are provided for an empty sparse tensor when the other is not. If `indices` is empty, then [code that performs validation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L260-L261) (i.e., checking that the indices are monotonically increasing) results in a null pointer dereference. If `indices` as provided by the user is empty, then `indices` in the C++ code above is backed by an empty `std::vector`, hence calling `indices->dim_size(0)` results in null pointer dereferencing (same as calling `std::vector::at()` on an empty vector). We have patched the issue in GitHub commit 02cc160e29d20631de3859c6653184e3f876b9d7. 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 7.7 · 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: < 02cc160e29d20631de3859c6653184e3f876b9d7
    • 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: < 02cc160e29d20631de3859c6653184e3f876b9d7
    • 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: < 02cc160e29d20631de3859c6653184e3f876b9d7
    • 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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