CVE-2022-23589: Null pointer dereference in Grappler's `IsConstant` in Tensorflow
First published: Fri Feb 04 2022(Updated: )
### Impact Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place): First, during [constant folding](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L3466-L3497), the `GraphDef` might not have the required nodes for the binary operation: ```cc NodeDef* mul_left_child = node_map_->GetNode(node->input(0)); NodeDef* mul_right_child = node_map_->GetNode(node->input(1)); // One child must be constant, and the second must be Conv op. const bool left_child_is_constant = IsReallyConstant(*mul_left_child); const bool right_child_is_constant = IsReallyConstant(*mul_right_child); ``` If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during [`IsIdentityConsumingSwitch`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/mutable_graph_view.cc#L59-L74): ```cc NodeDef* input_node = graph.GetNode(tensor_id.node()); return IsSwitch(*input_node); ``` ### Patches We have patched the issue in GitHub commits [0a365c029e437be0349c31f8d4c9926b69fa3fa1](https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1) and [045deec1cbdebb27d817008ad5df94d96a08b1bf](https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf). 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/grappler/mutable_graph_view.cc#L59-L74
- https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L3466-L3497
- https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf
- https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9px9-73fg-3fqp
- https://nvd.nist.gov/vuln/detail/CVE-2022-23589
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-98.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-153.yaml
- https://github.com/advisories/GHSA-9px9-73fg-3fqp (Advisory)
Frequently Asked Questions
What is the severity of CVE-2022-23589?
CVE-2022-23589 is classified as a medium severity vulnerability due to the potential for null pointer dereference.
How do I fix CVE-2022-23589?
To resolve CVE-2022-23589, upgrade TensorFlow to version 2.7.1 or version 2.6.3 depending on your installed version.
Which versions of TensorFlow are affected by CVE-2022-23589?
CVE-2022-23589 affects TensorFlow versions up to 2.5.2, from 2.6.0 to 2.6.2, and version 2.7.0.
What component of TensorFlow is impacted by CVE-2022-23589?
The Grappler component of TensorFlow is the specific area impacted by CVE-2022-23589.
Can CVE-2022-23589 be exploited by a malicious SavedModel file?
Yes, CVE-2022-23589 can be triggered by a malicious alteration of a SavedModel file leading to a null pointer dereference.
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