Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29586Division by zero in optimized pooling implementations in TFLite

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. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling `ComputePaddingHeightWidth`(https://github.com/tensorflow/tensorflow/blob/3f24ccd932546416ec906a02ddd183b48a1d2c83/tensorflow/lite/kernels/pooling.cc#L90). Since users can craft special models which will have `params->stride_{height,width}` be zero, this will result in a division by zero. 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-26j7-6w8w-7922
PyPItensorflow2.4.2GHSA-26j7-6w8w-7922
PyPItensorflow2.1.4GHSA-26j7-6w8w-7922
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-223
PyPItensorflow2.2.3GHSA-26j7-6w8w-7922
PyPItensorflow-cpu2.4.2GHSA-26j7-6w8w-7922
PyPItensorflow-cpu2.1.4GHSA-26j7-6w8w-7922
PyPItensorflow-cpu2.2.3GHSA-26j7-6w8w-7922
PyPItensorflow-cpu2.3.3GHSA-26j7-6w8w-7922
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-514
PyPItensorflow-gpu2.3.3GHSA-26j7-6w8w-7922
PyPItensorflow-gpu2.4.2GHSA-26j7-6w8w-7922
PyPItensorflow-gpu2.1.4GHSA-26j7-6w8w-7922
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-712
PyPItensorflow-gpu2.2.3GHSA-26j7-6w8w-7922

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