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Case File

CVE-2021-29600

LOW · CVSS 2.5 EPSS 0.20% Public Exploit

Source: NVD + CISA KEV + EPSS (historical backfill) · Published 2021-05-14 · Last synced 2026-08-04

CyberRota Analysis

This is a low severity vulnerability with a CVSS score of 2.5. It affects GitHub. Public exploit code or proof-of-concept references have been detected in its references.

Public Exploit Signal

A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.

Note: these links are listed for security research and verification purposes only.

CVE
CVE-2021-29600
Severity
LOW
CVSS
2.5
EPSS
0.20%
GitHub

Original NVD 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.

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