CVEvulnerability
CVE-2021-37675
5.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2021-08-12
- 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-369
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash. The shape inference implementation is missing several validations before doing divisions and modulo operations. We have patched the issue in GitHub commit 8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Affected configurations
• google tensorflow (>= 2.3.0 < 2.3.4)
• google tensorflow (>= 2.4.0 < 2.4.3)
• google tensorflow 2.5.0
• google tensorflow 2.6.0
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/8a793b5d7f59e37ac7f3cd0954a750a2fe76bad4 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-2mv3-49ww Third Party Advisory