CVEvulnerability
CVE-2021-29588
7.8 HIGH
Official page ↗
- Status
- Modified
- Published
- 2021-05-14
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 2.5 LOW — CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- CVSS 3.1 ([email protected])
- 7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- CVSS 2.0 ([email protected])
- 4.6 MEDIUM — AV:L/AC:L/Au:N/C:P/I:P/A:P
- Weaknesses
- CWE-369
Description
TensorFlow is an end-to-end open source platform for machine learning. The optimized implementation of the `TransposeConv` TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that `stride_{h,w}` values are 0. Code calling this function must validate these arguments. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Affected configurations
• google tensorflow (< 2.1.4)
• google tensorflow (>= 2.2.0 < 2.2.3)
• google tensorflow (>= 2.3.0 < 2.3.3)
• google tensorflow (>= 2.4.0 < 2.4.2)
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/801c1c6be5324219689c98e1bd3e0ca365ee834d Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vfr4-x8j2-3rf9 Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/801c1c6be5324219689c98e1bd3e0ca365ee834d Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vfr4-x8j2-3rf9 Exploit, Patch, Third Party Advisory