Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

Summary

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Timeline

1. Sep 16, 2022, 9:05 PM UTCCVE published
2. Apr 23, 2025, 1:59 PM UTCCISA SSVC assessment

   Exploitation: none · Automatable: no · Technical impact: partial

3. Apr 23, 2025, 5:02 PM UTCRecord last updated

Affected versions

• tensorflow tensorflow

  fixed in 2.7.2; From 2.8.0 · fixed in 2.8.1; From 2.9.0 · fixed in 2.9.1

• tensorflow-gpuPyPI

  fixed in 2.7.2; From 2.8.0 · fixed in 2.8.1; From 2.9.0 · fixed in 2.9.1

• tensorflow-cpuPyPI

  fixed in 2.7.2; From 2.8.0 · fixed in 2.8.1; From 2.9.0 · fixed in 2.9.1

• tensorflowPyPI

  fixed in 2.7.2

• tensorflowPyPI

  From 2.8.0 · fixed in 2.8.1

• tensorflowPyPI

  From 2.9.0 · fixed in 2.9.1

• tensorflow-cpuPyPI

  fixed in 2.7.2

• tensorflow-cpuPyPI

  From 2.8.0 · fixed in 2.8.1

• tensorflow-cpuPyPI

  From 2.9.0 · fixed in 2.9.1

• tensorflow-gpuPyPI

  fixed in 2.7.2

• tensorflow-gpuPyPI

  From 2.8.0 · fixed in 2.8.1

• tensorflow-gpuPyPI

  From 2.9.0 · fixed in 2.9.1

• tensorflowPyPI

  fixed in 2.7.2; From 2.8.0 · fixed in 2.8.1; From 2.9.0 · fixed in 2.9.1

References 2