CVEvulnerability
CVE-2021-29600
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 implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. 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/3ebedd7e345453d68e279cfc3e4072648e5e12e5 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825 Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825 Exploit, Patch, Third Party Advisory