Memory exhaustion in Tensorflow
CVE-2022-21733

6.5MEDIUM

Key Information:

Vendor

Google
Status
Tensorflow
Vendor
CVE Published:
3 February 2022

What is CVE-2022-21733?

Tensorflow is an Open Source Machine Learning Framework. The implementation of StringNGrams can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on pad_witdh and that result in computing a negative value for ngram_width which is later used to allocate parts of the output. 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/f68fdab93...
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

.
CVE-2022-21733 : Memory exhaustion in Tensorflow