Integer overflows in Tensorflow
CVE-2022-23567

6.5MEDIUM

Key Information:

Vendor
Google
Status
Tensorflow
Vendor
CVE Published:
3 February 2022

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementations of Sparse*Cwise* ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or CHECK-fails when building new TensorShape objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. 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.

References

https://github.com/tensorflow/tensorflow/blob/master/tens...
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https://github.com/tensorflow/tensorflow/security/advisor...
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https://github.com/tensorflow/tensorflow/commit/1b54cadd1...
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CVSS V3.1

Score:
6.5
Severity:
MEDIUM
Confidentiality:
None
Integrity:
None
Availability:
None
Attack Vector:
Network
Attack Complexity:
Low
Privileges Required:
Low
User Interaction:
None
Scope:
Unchanged

Timeline

  • Vulnerability published

  • Vulnerability Reserved

Collectors

NVD DatabaseMitre Database
.