CVE-2021-41196
- Source
- https://cve.org/CVERecord?id=CVE-2021-41196
- Import Source
- https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2021-41196.json
- JSON Data
- https://api.osv.dev/v1/vulns/CVE-2021-41196
- Aliases
- Downstream
- Related
- Published
- 2021-11-05T20:15:07.780Z
- Modified
- 2026-04-10T04:38:17.967612Z
- Severity
-
- 5.5 (Medium) CVSS_V3 - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- [none]
- Details
-
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
Affected packages
Git / github.com/tensorflow/tensorflow
Affected ranges
- Type
- GIT
- Repo
- https://github.com/tensorflow/tensorflow
- Events
-
Introduced0 Unknown introduced commit / All previous commits are affectedFixedIntroducedFixedIntroducedFixedFixed
- Database specific
{ "versions": [ { "introduced": "0" }, { "fixed": "2.4.4" }, { "introduced": "2.5.0" }, { "fixed": "2.5.2" }, { "introduced": "2.6.0" }, { "fixed": "2.6.1" } ] }