CVE-2022-23574
Out of bounds read and write in Tensorflow
Impact
### Impact There is a typo in TensorFlow's [`SpecializeType`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102) which results in heap OOB read/write: ```cc for (int i = 0; i < op_def.output_arg_size(); i++) { // ... for (int j = 0; j < t->args_size(); j++) { auto* arg = t->mutable_args(i); // ... } } ``` Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. ### Patches We have patched the issue in GitHub commit [0657c83d08845cc434175934c642299de2c0f042](https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, 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
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | tensorflow | < 2.5.3 | 2.5.3 |
| pip | tensorflow-cpu | < 2.5.3 | 2.5.3 |
| pip | tensorflow-gpu | < 2.5.3 | 2.5.3 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Tensorflow | through 2.5.2 from 2.6.0 through 2.6.2 Version 2.7.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102
- https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428
- https://github.com/advisories/GHSA-77gp-3h4r-6428
- https://nvd.nist.gov/vuln/detail/CVE-2022-23574
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-83.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-138.yaml