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GHSA-xf83-q765-xm6m json

`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

published 3y ago modified last yr.

cvss
—
not scored
cisa kev
Not listed
not in CISA's catalog
epss
—
no score, EPSS covers CVEs only
public exploits
0
none known

Summary

### Impact Another instance of CVE-2022-35991, where `TensorListScatter` and `TensorListScatterV2` crash via non scalar inputs in`element_shape`, was found in eager mode and fixed. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None) arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_3='' tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, element_shape=arg_2, name=arg_3) ```

### Patches We have patched the issue in GitHub commit [bf9932fc907aff0e9e8cccf769e8b00d30fd81a1](https://github.com/tensorflow/tensorflow/commit/bf9932fc907aff0e9e8cccf769e8b00d30fd81a1).

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

### Attribution This vulnerability has been reported by Pattarakrit Rattankul

Patch / fix

  • pypi tensorflow 2.8.4, 2.9.3, 2.10.1
  • pypi tensorflow-cpu 2.8.4, 2.9.3, 2.10.1
  • pypi tensorflow-gpu 2.8.4, 2.9.3, 2.10.1

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Affected packages

ecosystem package affected fixed in
pypi tensorflow
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1
pypi tensorflow-cpu
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1
pypi tensorflow-gpu
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1

References

Sources

Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.