CVE-2022-23592: Out of bounds read in Tensorflow
First published: Fri Feb 04 2022(Updated: )
### Impact TensorFlow's [type inference](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229) can cause a heap OOB read as the bounds checking is done in a `DCHECK` (which is a no-op during production): ```cc if (node_t.type_id() != TFT_UNSET) { int ix = input_idx[i]; DCHECK(ix < node_t.args_size()) << "input " << i << " should have an output " << ix << " but instead only has " << node_t.args_size() << " outputs: " << node_t.DebugString(); input_types.emplace_back(node_t.args(ix)); // ... } ``` An attacker can control `input_idx` such that `ix` would be larger than the number of values in `node_t.args`. ### Patches We have patched the issue in GitHub commit [c99d98cd189839dcf51aee94e7437b54b31f8abd](https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd). The fix will be included in TensorFlow 2.8.0. This is the only affected version. ### 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.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | >=2.7.0<2.8.0 | |
| pip/tensorflow-gpu | =2.8.0-rc0 | 2.8.0 |
| pip/tensorflow-cpu | =2.8.0-rc0 | 2.8.0 |
| pip/tensorflow | =2.8.0-rc0 | 2.8.0 |
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Reference Links
- https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L223-L229
- https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vq36-27g6-p492
- https://nvd.nist.gov/vuln/detail/CVE-2022-23592
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-101.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-156.yaml
- https://github.com/advisories/GHSA-vq36-27g6-p492 (Advisory)
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