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MediumVulnerability

CVE-2021-41196: TensorFlow Keras pooling layers segfault on zero or negative pool size

Identifier
CVE-2021-41196
Published
Record updated
View JSON
Affected
  • tensorflow >= 2.6.0, < 2.6.1, fixed in 2.6.1, released November 1, 2021, 5 days before disclosure
  • tensorflow >= 2.5.0, < 2.5.2, fixed in 2.5.2, released November 1, 2021, 5 days before disclosure
  • tensorflow < 2.4.4, fixed in 2.4.4, released November 1, 2021, 5 days before disclosure
  • and 6 more
Known exploitation
Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS
0.2%

Summary

CVE-2021-41196 affects TensorFlow versions where Keras pooling layers can crash with a segfault. The fault occurs when the pool size is 0 or a dimension is negative, because pooling operations do not check that sliding-window values are strictly positive.

Mitigation

The fix will be included in TensorFlow 2.7.0. The same commit will be cherry-picked to TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.