Out of bounds read and write in Tensorflow

Summary

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Timeline

1. Feb 4, 2022, 10:32 PM UTCCVE published
2. Apr 22, 2025, 3:44 PM UTCCISA SSVC assessment

   Exploitation: poc · Automatable: no · Technical impact: total

3. Apr 22, 2025, 6:23 PM UTCRecord last updated

Affected versions

• tensorflow tensorflow

  From 2.7.0 · fixed in 2.7.1; From 2.6.0 · fixed in 2.6.3; fixed in 2.5.3

• tensorflow-gpuPyPI

  fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3

• tensorflow-cpuPyPI

  fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3

• tensorflowPyPI

  fixed in 2.5.3

• tensorflowPyPI

  From 2.6.0 · fixed in 2.6.3

• tensorflowPyPI

  From 2.7.0 · fixed in 2.7.1

• tensorflow-cpuPyPI

  fixed in 2.5.3

• tensorflow-cpuPyPI

  From 2.6.0 · fixed in 2.6.3

• tensorflow-cpuPyPI

  From 2.7.0 · fixed in 2.7.1

• tensorflow-gpuPyPI

  fixed in 2.5.3

• tensorflow-gpuPyPI

  From 2.6.0 · fixed in 2.6.3

• tensorflow-gpuPyPI

  From 2.7.0 · fixed in 2.7.1

• tensorflowPyPI

  fixed in 2.5.3; From 2.6.0 · fixed in 2.6.3; From 2.7.0 · fixed in 2.7.1

References 3