TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/issues/51936 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8 | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
09 Nov 2021, 13:56
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2021-11-05 20:15
Updated : 2024-02-04 22:08
NVD link : CVE-2021-41196
Mitre link : CVE-2021-41196
CVE.ORG link : CVE-2021-41196
JSON object : View
Products Affected
- tensorflow
CWE
CWE-191
Integer Underflow (Wrap or Wraparound)