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CVE-2021-29550

CVE-2021-29550 · Division by 0 in `FractionalAvgPool`

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. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.FractionalAvgPool`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L85-L89) computes a divisor quantity by dividing two user controlled values. The user controls the values of `input_size[i]` and `pooling_ratio_[i]` (via the `value.shape()` and `pooling_ratio` arguments). If the value in `input_size[i]` is smaller than the `pooling_ratio_[i]`, then the floor operation results in `output_size[i]` being 0. The `DCHECK_GT` line is a no-op outside of debug mode, so in released versions of TF this does not trigger. Later, these computed values are used as arguments(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L96-L99) to `GeneratePoolingSequence`(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_pool_common.cc#L100-L108). There, the first computation is a division in a modulo operation. Since `output_length` can be 0, this results in runtime crashing. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

CVSS 2.5 · Low · EPSS 0.2% · Fix available

Published
Updated

Stack: python

Affected products and versions

  • tensorflow

    Versions
    • < 2.1.4: Affected
    • >= 2.2.0, < 2.2.3: Affected
    • >= 2.3.0, < 2.3.3: Affected
    • >= 2.4.0, < 2.4.2: 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
    Affected ranges
    • ECOSYSTEM: < 2.1.4

    Update to 2.1.4

  • tensorflow PyPI

    Versions
    • 2.2.0
    • 2.2.1
    • 2.2.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.2.0, < 2.2.3

    Update to 2.2.3

  • tensorflow PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.3

    Update to 2.3.3

  • tensorflow PyPI

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

    Update to 2.4.2

  • tensorflow-cpu PyPI

    Versions
    • 1.15.0
    • 2.1.0
    • 2.1.1
    • 2.1.2
    • 2.1.3
    Affected ranges
    • ECOSYSTEM: < 2.1.4

    Update to 2.1.4

  • tensorflow-cpu PyPI

    Versions
    • 2.2.0
    • 2.2.1
    • 2.2.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.2.0, < 2.2.3

    Update to 2.2.3

  • tensorflow-cpu PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.3

    Update to 2.3.3

  • tensorflow-cpu PyPI

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

    Update to 2.4.2

  • 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
    Affected ranges
    • ECOSYSTEM: < 2.1.4

    Update to 2.1.4

  • tensorflow-gpu PyPI

    Versions
    • 2.2.0
    • 2.2.1
    • 2.2.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.2.0, < 2.2.3

    Update to 2.2.3

  • tensorflow-gpu PyPI

    Versions
    • 2.3.0
    • 2.3.1
    • 2.3.2
    Affected ranges
    • ECOSYSTEM: ≥ 2.3.0, < 2.3.3

    Update to 2.3.3

  • tensorflow-gpu PyPI

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

    Update to 2.4.2

  • tensorflow PyPI

    Versions
    • 0.12.0
    • 0.12.0rc0
    • 0.12.0rc1
    • 0.12.1
    • 1.0.0
    • 1.0.1
    • 1.1.0
    • 1.1.0rc0
    • 1.1.0rc1
    • 1.1.0rc2
    • 1.10.0
    • 1.10.0rc0
    • 1.10.0rc1
    • 1.10.1
    • 1.11.0
    • 1.11.0rc0
    • 1.11.0rc1
    • 1.11.0rc2
    • 1.12.0
    • 1.12.0rc0
    • 1.12.0rc1
    • 1.12.0rc2
    • 1.12.2
    • 1.12.3
    • 1.13.0rc0
    • 1.13.0rc1
    • 1.13.0rc2
    • 1.13.1
    • 1.13.2
    • 1.14.0
    • 1.14.0rc0
    • 1.14.0rc1
    • 1.15.0
    • 1.15.0rc0
    • 1.15.0rc1
    • 1.15.0rc2
    • 1.15.0rc3
    • 1.15.2
    • 1.15.3
    • 1.15.4
    • 1.15.5
    • 1.2.0
    • 1.2.0rc0
    • 1.2.0rc1
    • 1.2.0rc2
    • 1.2.1
    • 1.3.0
    • 1.3.0rc0
    • 1.3.0rc1
    • 1.3.0rc2
    • 1.4.0
    • 1.4.0rc0
    • 1.4.0rc1
    • 1.4.1
    • 1.5.0
    • 1.5.0rc0
    • 1.5.0rc1
    • 1.5.1
    • 1.6.0
    • 1.6.0rc0
    • 1.6.0rc1
    • 1.7.0
    • 1.7.0rc0
    • 1.7.0rc1
    • 1.7.1
    • 1.8.0
    • 1.8.0rc0
    • 1.8.0rc1
    • 1.9.0
    • 1.9.0rc0
    • 1.9.0rc1
    • 1.9.0rc2
    • 2.0.0
    • 2.0.0a0
    • 2.0.0b0
    • 2.0.0b1
    • 2.0.0rc0
    • 2.0.0rc1
    • 2.0.0rc2
    • 2.0.1
    • 2.0.2
    • 2.0.3
    • 2.0.4
    • 2.1.0
    • 2.1.0rc0
    • 2.1.0rc1
    • 2.1.0rc2
    • 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
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 548b5eaf23685d86f722233d8fbc21d0a4aecb96
    • ECOSYSTEM: < 2.2.0rc0 ∪ ≥ 2.2.0, < 2.3.0rc0 ∪ ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.2.0rc0; Update to 2.3.0rc0; Update to 2.3.4; Update to 2.4.3

  • 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
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 548b5eaf23685d86f722233d8fbc21d0a4aecb96
    • ECOSYSTEM: < 2.2.0rc0 ∪ ≥ 2.2.0, < 2.3.0rc0 ∪ ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.2.0rc0; Update to 2.3.0rc0; Update to 2.3.4; Update to 2.4.3

  • 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
    • 2.4.0
    • 2.4.1
    • 2.4.2
    Affected ranges
    • GIT: < 548b5eaf23685d86f722233d8fbc21d0a4aecb96
    • ECOSYSTEM: < 2.2.0rc0 ∪ ≥ 2.2.0, < 2.3.0rc0 ∪ ≥ 2.3.0, < 2.3.4 ∪ ≥ 2.4.0, < 2.4.3

    Update to 2.2.0rc0; Update to 2.3.0rc0; Update to 2.3.4; Update to 2.4.3

Original sources

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