Vulnerability · Published Nov 5, 2021 · Assigned by GitHub_M

CVE-2021-41208Incomplete validation in boosted trees code

High 8.8

In plain English

A high-severity null pointer dereference 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 7% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)8.8High
Exploit odds (30 days)0.2%top 93.1% 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 code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subsequent releases. 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-2021-400
PyPItensorflow2.6.1GHSA-57wx-m983-2f88
PyPItensorflow2.5.2GHSA-57wx-m983-2f88
PyPItensorflow2.4.4GHSA-57wx-m983-2f88
PyPItensorflow-cpu2.5.2GHSA-57wx-m983-2f88
PyPItensorflow-cpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-617
PyPItensorflow-cpu2.6.1GHSA-57wx-m983-2f88
PyPItensorflow-cpu2.4.4GHSA-57wx-m983-2f88
PyPItensorflow-gpu2.4.4, 2.5.2, 2.6.1, 2.7.0PYSEC-2021-815
PyPItensorflow-gpu2.6.1GHSA-57wx-m983-2f88
PyPItensorflow-gpu2.5.2GHSA-57wx-m983-2f88
PyPItensorflow-gpu2.4.4GHSA-57wx-m983-2f88

Affected products (as reported)

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

Weakness: CWE-476, CWE-824 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

References