Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29604Division by zero in TFLite's implementation of hashtable lookup

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 9% 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 91.4% 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 implementation of hashtable lookup is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtable_lookup.cc#L114-L115) An attacker can craft a model such that `values`'s first dimension would be 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-8rm6-75mf-7r7r
PyPItensorflow2.4.2GHSA-8rm6-75mf-7r7r
PyPItensorflow2.1.4GHSA-8rm6-75mf-7r7r
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-241
PyPItensorflow2.2.3GHSA-8rm6-75mf-7r7r
PyPItensorflow-cpu2.4.2GHSA-8rm6-75mf-7r7r
PyPItensorflow-cpu2.1.4GHSA-8rm6-75mf-7r7r
PyPItensorflow-cpu2.2.3GHSA-8rm6-75mf-7r7r
PyPItensorflow-cpu2.3.3GHSA-8rm6-75mf-7r7r
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-532
PyPItensorflow-gpu2.3.3GHSA-8rm6-75mf-7r7r
PyPItensorflow-gpu2.4.2GHSA-8rm6-75mf-7r7r
PyPItensorflow-gpu2.1.4GHSA-8rm6-75mf-7r7r
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-730
PyPItensorflow-gpu2.2.3GHSA-8rm6-75mf-7r7r

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