Assertion failure based denial of service in Tensorflow
CVE-2022-21737

6.5MEDIUM

Key Information:

Vendor
Google
Status
Tensorflow
Vendor
CVE Published:
3 February 2022

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementation of *Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in CHECK failures later when the output tensors get allocated. 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/security/advisor...
x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/7019ce4f6...
x_refsource_MISC
https://github.com/tensorflow/tensorflow/blob/5100e359aef...
x_refsource_MISC

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
.