CVE-2022-23570
Null-dereference in Tensorflow
Impact
### Impact When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is [guarded by a `DCHECK`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L104-L106): ```cc const auto* attr = attrs.Find(arg->s()); DCHECK(attr != nullptr); if (attr->value_case() == AttrValue::kList) { // ... } ``` However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. ### Patches We have patched the issue in GitHub commit [8a513cec4bec15961fbfdedcaa5376522980455c](https://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c). 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#L104-L106
- https://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9p77-mmrw-69c7
- https://github.com/advisories/GHSA-9p77-mmrw-69c7
- https://nvd.nist.gov/vuln/detail/CVE-2022-23570
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-79.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-134.yaml