Floating point exception in `Conv2D` in TensorFlow

Summary

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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, 10:55 PM UTCCVE published
2. Apr 23, 2025, 1:57 PM UTCCISA SSVC assessment

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

3. Apr 23, 2025, 4:59 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

• 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

• 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

• tensorflowPyPI

  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

References 2