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GHSA-8jj7-5vxc-pg2q

Integer overflow in TensorFlow

Source: GitHub Advisory Database (reviewed) High CVE-2022-23587

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 Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during [cost estimation for crop and resize](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689). Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. ### Patches We have patched the issue in GitHub commit [0aaaae6eca5a7175a193696383f582f53adab23f](https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f). 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.