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GHSA-j3mj-fhpq-qqjj

Reachable Assertion in Tensorflow

Source: GitHub Advisory Database (reviewed) High CVE-2022-23571

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.5.3 2.5.3
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1
PyPI tensorflow-cpu < 2.5.3 2.5.3
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1
PyPI tensorflow-gpu < 2.5.3 2.5.3
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1

Details

As written in the advisory (Markdown source, shown as plain text).

### Impact When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. ### Patches We have patched the issue in GitHub commit [5b491cd5e41ad63735161cec9c2a568172c8b6a3](https://github.com/tensorflow/tensorflow/commit/5b491cd5e41ad63735161cec9c2a568172c8b6a3). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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.

References

External links from the advisory. They lead to third-party sites.