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GHSA-f4rr-5m7v-wxcw

Type confusion leading to `CHECK`-failure based denial of service in TensorFlow

Source: GitHub Advisory Database (reviewed) Moderate CVE-2022-29209

Packages

EcosystemPackageAffectedFixed in
PyPI tensorflow < 2.6.4 2.6.4
PyPI tensorflow >= 2.7.0, < 2.7.2 2.7.2
PyPI tensorflow >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-cpu < 2.6.4 2.6.4
PyPI tensorflow-cpu >= 2.7.0, < 2.7.2 2.7.2
PyPI tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1
PyPI tensorflow-gpu < 2.6.4 2.6.4
PyPI tensorflow-gpu >= 2.7.0, < 2.7.2 2.7.2
PyPI tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1

Details

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

### Impact The [macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.)](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/platform/default/logging.h) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. ### Patches We have patched the issue in GitHub commit [b917181c29b50cb83399ba41f4d938dc369109a1](https://github.com/tensorflow/tensorflow/commit/b917181c29b50cb83399ba41f4d938dc369109a1) (merging GitHub PR [#55730](https://github.com/tensorflow/tensorflow/pull/55730)). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55530).

References

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