Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29585Division by zero in padding computation 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. The TFLite computation for size of output after padding, `ComputeOutSize`(https://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.h#L43-L55), does not check that the `stride` argument is not 0 before doing the division. Users can craft special models such that `ComputeOutSize` is called with `stride` set to 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-mv78-g7wq-mhp4
PyPItensorflow2.4.2GHSA-mv78-g7wq-mhp4
PyPItensorflow2.1.4GHSA-mv78-g7wq-mhp4
PyPItensorflow2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-222
PyPItensorflow2.2.3GHSA-mv78-g7wq-mhp4
PyPItensorflow-cpu2.4.2GHSA-mv78-g7wq-mhp4
PyPItensorflow-cpu2.1.4GHSA-mv78-g7wq-mhp4
PyPItensorflow-cpu2.2.3GHSA-mv78-g7wq-mhp4
PyPItensorflow-cpu2.3.3GHSA-mv78-g7wq-mhp4
PyPItensorflow-cpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-513
PyPItensorflow-gpu2.3.3GHSA-mv78-g7wq-mhp4
PyPItensorflow-gpu2.4.2GHSA-mv78-g7wq-mhp4
PyPItensorflow-gpu2.1.4GHSA-mv78-g7wq-mhp4
PyPItensorflow-gpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-711
PyPItensorflow-gpu2.2.3GHSA-mv78-g7wq-mhp4

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