Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M

CVE-2021-41214Reference binding to `nullptr` in `tf.ragged.cross`

High 7.8

In plain English

A high-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 12% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)7.8High
Exploit odds (30 days)0.2%top 87.8% 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` has an undefined behavior due to binding a reference to `nullptr`. 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-2021-406
PyPItensorflow2.6.1GHSA-vwhq-49r4-gj9v
PyPItensorflow2.5.2GHSA-vwhq-49r4-gj9v
PyPItensorflow2.4.4GHSA-vwhq-49r4-gj9v
PyPItensorflow-cpu2.5.2GHSA-vwhq-49r4-gj9v
PyPItensorflow-cpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-623
PyPItensorflow-cpu2.6.1GHSA-vwhq-49r4-gj9v
PyPItensorflow-cpu2.4.4GHSA-vwhq-49r4-gj9v
PyPItensorflow-gpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-821
PyPItensorflow-gpu2.6.1GHSA-vwhq-49r4-gj9v
PyPItensorflow-gpu2.5.2GHSA-vwhq-49r4-gj9v
PyPItensorflow-gpu2.4.4GHSA-vwhq-49r4-gj9v

Affected products (as reported)

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

Weakness: CWE-824 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References