CVE-2022-23577: Null-dereference in Tensorflow

Published Feb 4, 2022
·
Updated

Impact The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer:

cc const auto& initopsigit = metagraphdef.signaturedef().find(kSavedModelInitOpSignatureKey); if (initopsigit != sigdefmap.end()) { initopname = initopsigit->second.outputs() .find(kSavedModelInitOpSignatureKey) ->second.name(); return Status::OK(); }

Here, we have a nested map and we assume that if the first .find succeeds then so would be the search in the internal map. However, the maps are built based on the SavedModel protobuf format and a malicious user can alter that on disk before loading to cause the second .find to return nullptr. Patches We have patched the issue in GitHub commit 4f38b1ac8e42727e18a2f0bde06d3bee8e77b250.

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 for more information regarding the security model and how to contact us with issues and questions.

Other sources

Tensorflow is an Open Source Machine Learning Framework. The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer. 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.

Affected Software

12 affected componentsFixes available
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
Google TensorFlow<=2.5.2
Google TensorFlow>=2.6.0<=2.6.2
Google TensorFlow=2.7.0

Event History

Feb 4, 2022
CVE Published
via MITRE·10:32 PM
Data Sourced
via MITRE·10:32 PM
DescriptionSeverityWeakness
Feb 10, 2022
Advisory Published
via GitHub·12:32 AM

Frequently Asked Questions

1

What is the severity of CVE-2022-23577?

CVE-2022-23577 has a severity rating that indicates it can cause application crashes due to null pointer dereferences.

2

How do I fix CVE-2022-23577?

To fix CVE-2022-23577, upgrade TensorFlow to version 2.5.3, 2.6.3, or 2.7.1 depending on your current version.

3

Which versions of TensorFlow are affected by CVE-2022-23577?

CVE-2022-23577 affects TensorFlow versions up to 2.5.2 and from 2.6.0 to 2.6.2, as well as the exact version 2.7.0.

4

What causes the vulnerability described in CVE-2022-23577?

CVE-2022-23577 is caused by the implementation of the GetInitOp function, which can dereference a null pointer.

5

Is CVE-2022-23577 a high-risk vulnerability?

Yes, CVE-2022-23577 is considered high-risk as it can lead to application crashes and potential disruptions.

Contact

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