CVEvulnerability
CVE-2021-41196
5.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2021-11-05
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 3.1 ([email protected])
- 5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 2.0 ([email protected])
- 2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
- Weaknesses
- CWE-191
Description
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.
Affected configurations
• google tensorflow (< 2.4.4)
• google tensorflow (>= 2.5.0 < 2.5.2)
• google tensorflow (>= 2.6.0 < 2.6.1)
Related
Weakness · CWE (1)
- CWE-191 Integer Underflow (Wrap or Wraparound) weakness
References
- 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
- 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