Memory exhaustion in Tensorflow
CVE-2022-21732

4.3MEDIUM

Key Information:

Vendor
Google
Status
Tensorflow
Vendor
CVE Published:
3 February 2022

Summary

Tensorflow is an Open Source Machine Learning Framework. The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory. This is because the num_threads argument is only checked to not be negative, but there is no upper bound on its value. 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/e3749a6d5...
x_refsource_MISC
https://github.com/tensorflow/tensorflow/blob/5100e359aef...
x_refsource_MISC

CVSS V3.1

Score:
4.3
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
.