CVE-2022-23565: `CHECK`-failures in Tensorflow
First published: Fri Feb 04 2022(Updated: )
### Impact An attacker can trigger denial of service via assertion failure by altering a `SavedModel` on disk such that `AttrDef`s of some operation are duplicated. ### Patches We have patched the issue in GitHub commit [c2b31ff2d3151acb230edc3f5b1832d2c713a9e0](https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0). 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.
Credit: security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Google TensorFlow | <=2.5.2 | |
| Google TensorFlow | >=2.6.0<=2.6.2 | |
| Google TensorFlow | =2.7.0 | |
| pip/tensorflow-gpu | =2.7.0 | 2.7.1 |
| pip/tensorflow-gpu | >=2.6.0<2.6.3 | 2.6.3 |
| pip/tensorflow-gpu | <2.5.3 | 2.5.3 |
| pip/tensorflow-cpu | =2.7.0 | 2.7.1 |
| pip/tensorflow-cpu | >=2.6.0<2.6.3 | 2.6.3 |
| pip/tensorflow-cpu | <2.5.3 | 2.5.3 |
| pip/tensorflow | =2.7.0 | 2.7.1 |
| pip/tensorflow | >=2.6.0<2.6.3 | 2.6.3 |
| pip/tensorflow | <2.5.3 | 2.5.3 |
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Reference Links
- https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx
- https://nvd.nist.gov/vuln/detail/CVE-2022-23565
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-74.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-129.yaml
- https://github.com/advisories/GHSA-4v5p-v5h9-6xjx (Advisory)
Frequently Asked Questions
What is the vulnerability ID?
The vulnerability ID is CVE-2022-23565.
What is the severity of CVE-2022-23565?
The severity of CVE-2022-23565 is medium (6.5).
How can an attacker exploit CVE-2022-23565?
An attacker can trigger denial of service (DoS) by altering a `SavedModel` on disk.
What versions of TensorFlow are affected by CVE-2022-23565?
Versions 2.5.2, 2.6.0 to 2.6.2, and 2.7.0 of TensorFlow are affected by CVE-2022-23565.
Is there a fix available for CVE-2022-23565?
Yes, the fix will be included in TensorFlow 2.8.0.
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