GHSA-8jj7-5vxc-pg2q
GitHub Security Advisory
Integer overflow in TensorFlow
Advisory Details
### 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.
Affected Packages
Related CVEs
Key Information
Dataset
Data from GitHub Advisory Database. This information is provided for research and educational purposes.