CVE-2021-29600
LOWTensorFlow < 2.1.4 - Division By Zero in OneHot TFLite Operator
Title source: llmDescription
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.
References (2)
Core 2
Core References
Exploit, Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5
Scores
CVSS v3
2.5
EPSS
0.0020
EPSS Percentile
10.0%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Details
CWE
CWE-369
Status
published
Products (4)
google/tensorflow
< 2.1.4
pypi/tensorflow
0 - 2.1.4PyPI
pypi/tensorflow-cpu
0 - 2.1.4PyPI
pypi/tensorflow-gpu
0 - 2.1.4PyPI
Published
May 14, 2021
Tracked Since
Feb 18, 2026