Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29600Division by zero in TFLite's implementation of `OneHot`

Low 2.5

In plain English

A low-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 10% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.5Low
Exploit odds (30 days)0.2%top 89.9% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official 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 packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.3GHSA-j8qh-3xrq-c825
PyPItensorflow2.4.2GHSA-j8qh-3xrq-c825
PyPItensorflow2.1.4GHSA-j8qh-3xrq-c825
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-237
PyPItensorflow2.2.3GHSA-j8qh-3xrq-c825
PyPItensorflow-cpu2.4.2GHSA-j8qh-3xrq-c825
PyPItensorflow-cpu2.1.4GHSA-j8qh-3xrq-c825
PyPItensorflow-cpu2.2.3GHSA-j8qh-3xrq-c825
PyPItensorflow-cpu2.3.3GHSA-j8qh-3xrq-c825
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-528
PyPItensorflow-gpu2.3.3GHSA-j8qh-3xrq-c825
PyPItensorflow-gpu2.4.2GHSA-j8qh-3xrq-c825
PyPItensorflow-gpu2.1.4GHSA-j8qh-3xrq-c825
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-726
PyPItensorflow-gpu2.2.3GHSA-j8qh-3xrq-c825

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References