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CVE-2021-41195PYSEC-2021-842BIT-TENSORFLOW-2021-41195GHSA-CQ76-MXRC-VCHHPYSEC-2021-844PYSEC-2021-846

Crash in `tf.math.segment_*` operations

Published
Last modified
published
Not listed in CISA KEV
Fix
Fixed in 2.6.1, 2.5.2, 2.4.4
None on Exploit-DB, Metasploit or GitHub

Summary

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Timeline

  1. CVE published
  2. Record last updated

Affected versions

  • tensorflow tensorflow

    From 2.6.0 · fixed in 2.6.1; From 2.5.0 · fixed in 2.5.2; fixed in 2.4.4

  • tensorflowPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1

  • tensorflow-cpuPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1

  • tensorflow-gpuPyPI

    fixed in 2.4.4; From 2.5.0 · fixed in 2.5.2; From 2.6.0 · fixed in 2.6.1

  • tensorflowPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflowPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflowPyPI

    fixed in 2.4.4

  • tensorflow-cpuPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflow-cpuPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflow-cpuPyPI

    fixed in 2.4.4

  • tensorflow-gpuPyPI

    From 2.6.0 · fixed in 2.6.1

  • tensorflow-gpuPyPI

    From 2.5.0 · fixed in 2.5.2

  • tensorflow-gpuPyPI

    fixed in 2.4.4

References 4

GitHub · tensorflow/tensorflow