Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M

CVE-2021-41212Heap OOB read in `tf.ragged.cross`

High 7.1

In plain English

A high-severity out-of-bounds read 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 11% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.1High
Exploit odds (30 days)0.2%top 89.0% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-404
PyPItensorflow2.6.1GHSA-fr77-rrx3-cp7g
PyPItensorflow2.5.2GHSA-fr77-rrx3-cp7g
PyPItensorflow2.4.4GHSA-fr77-rrx3-cp7g
PyPItensorflow-cpu2.5.2GHSA-fr77-rrx3-cp7g
PyPItensorflow-cpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-621
PyPItensorflow-cpu2.6.1GHSA-fr77-rrx3-cp7g
PyPItensorflow-cpu2.4.4GHSA-fr77-rrx3-cp7g
PyPItensorflow-gpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-819
PyPItensorflow-gpu2.6.1GHSA-fr77-rrx3-cp7g
PyPItensorflow-gpu2.5.2GHSA-fr77-rrx3-cp7g
PyPItensorflow-gpu2.4.4GHSA-fr77-rrx3-cp7g

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.6.0, < 2.6.1>= 2.5.0, < 2.5.2< 2.4.4

Weakness: CWE-125 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

References