Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M

CVE-2021-37662Reference binding to nullptr in boosted trees in TensorFlow

High 7.1

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 9% 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 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. In affected versions an attacker can generate undefined behavior via a reference binding to nullptr in `BoostedTreesCalculateBestGainsPerFeature` and similar attack can occur in `BoostedTreesCalculateBestFeatureSplitV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/stats_ops.cc) does not validate the input values. We have patched the issue in GitHub commit 9c87c32c710d0b5b53dc6fd3bfde4046e1f7a5ad and in commit 429f009d2b2c09028647dd4bb7b3f6f414bbaad7. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.4, 2.4.3PYSEC-2021-284
PyPItensorflow2.3.4GHSA-f5cx-5wr3-5qrc
PyPItensorflow2.4.3GHSA-f5cx-5wr3-5qrc
PyPItensorflow2.5.1GHSA-f5cx-5wr3-5qrc
PyPItensorflow-cpu2.4.3GHSA-f5cx-5wr3-5qrc
PyPItensorflow-cpu2.3.4, 2.4.3PYSEC-2021-575
PyPItensorflow-cpu2.3.4GHSA-f5cx-5wr3-5qrc
PyPItensorflow-cpu2.5.1GHSA-f5cx-5wr3-5qrc
PyPItensorflow-gpu2.3.4, 2.4.3PYSEC-2021-773
PyPItensorflow-gpu2.3.4GHSA-f5cx-5wr3-5qrc
PyPItensorflow-gpu2.4.3GHSA-f5cx-5wr3-5qrc
PyPItensorflow-gpu2.5.1GHSA-f5cx-5wr3-5qrc

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4

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

References