CVE-2022-23566: Out of bounds write in Tensorflow
First published: Fri Feb 04 2022(Updated: )
### Impact TensorFlow is vulnerable to a heap OOB write in [Grappler](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/graph_properties.cc#L1132-L1141): ```cc Status SetUnknownShape(const NodeDef* node, int output_port) { shape_inference::ShapeHandle shape = GetUnknownOutputShape(node, output_port); InferenceContext* ctx = GetContext(node); if (ctx == nullptr) { return errors::InvalidArgument("Missing context"); } ctx->set_output(output_port, shape); return Status::OK(); } ``` The [`set_output`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.h#L394) function writes to an array at the specified index: ```cc void set_output(int idx, ShapeHandle shape) { outputs_.at(idx) = shape; } ``` Hence, this gives a malicious user a write primitive. ### Patches We have patched the issue in GitHub commit [97282c6d0d34476b6ba033f961590b783fa184cd](https://github.com/tensorflow/tensorflow/commit/97282c6d0d34476b6ba033f961590b783fa184cd). 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/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.h#L394
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/graph_properties.cc#L1132-L1141
- https://github.com/tensorflow/tensorflow/commit/97282c6d0d34476b6ba033f961590b783fa184cd
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5qw5-89mw-wcg2
- https://nvd.nist.gov/vuln/detail/CVE-2022-23566
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-75.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-130.yaml
- https://github.com/advisories/GHSA-5qw5-89mw-wcg2 (Advisory)
Frequently Asked Questions
What is the severity of CVE-2022-23566?
CVE-2022-23566 has been rated as a high severity vulnerability due to its potential for a heap out-of-bounds write.
What versions of TensorFlow are affected by CVE-2022-23566?
CVE-2022-23566 affects TensorFlow versions up to 2.5.2, and versions from 2.6.0 to 2.6.2, along with the specific version 2.7.0.
How do I fix CVE-2022-23566?
To fix CVE-2022-23566, upgrade to TensorFlow version 2.7.1 or later, or to version 2.6.3 or later.
What type of vulnerability is CVE-2022-23566?
CVE-2022-23566 is a heap out-of-bounds write vulnerability found in the Grappler component of TensorFlow.
What impact does CVE-2022-23566 have on TensorFlow applications?
CVE-2022-23566 can lead to potential application crashes and may allow attackers to execute arbitrary code.
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