CVE-2021-41214

Reference binding to `nullptr` in `tf.ragged.cross`

7.8 HighFix available

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.

Attack profile

How easy it is to exploit

Attack vector: Local
Complexity: Low
Privileges needed: Low
User interaction: None

What an attacker can affect

Confidentiality: High
Integrity: High
Availability: High

Exploit likelihood

0.22%Down 0.4 points since Nov 6, 2021

What each source reports

CVE List Score used7.8

Reference binding to `nullptr` in `tf.ragged.cross`

Record: CVE-2021-41214
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-824
Updated: 2026-11-02

EUVDEUVD-2021-04367.8

Record: EUVD-2021-0436
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated: 2026-11-03

GitHub AdvisoriesGHSA-vwhq-49r4-gj9v7.8

Reference binding to `nullptr` in `tf.ragged.cross`

Impact

The shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. In the following scenario, this results in a crash:

import tensorflow as tf
  
@tf.function                 
def test():     
  y = tf.ragged.cross([tf.ragged.constant([['1']]),'2'])
  return y                   
                             
test()

Patches

We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8.

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Record: GHSA-vwhq-49r4-gj9v
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-824
Updated: 2026-11-02

NVD7.8

Record: CVE-2021-41214
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.0: 4.6 MediumAV:L/AC:L/Au:N/C:P/I:P/A:P
Weakness: CWE-824
Updated: 2026-11-02

OSV7.8

Record: CVE-2021-41214
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Updated: 2026-11-02

OSVGHSA-vwhq-49r4-gj9v7.8

Reference binding to `nullptr` in `tf.ragged.cross`

Impact

The shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. In the following scenario, this results in a crash:

import tensorflow as tf
  
@tf.function                 
def test():     
  y = tf.ragged.cross([tf.ragged.constant([['1']]),'2'])
  return y                   
                             
test()

Patches

We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8.

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Record: GHSA-vwhq-49r4-gj9v
CVSS 3.1: 7.8 HighCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Weakness: CWE-824
Updated: 2026-11-02

Show 5 moreShow less

OSVBIT-tensorflow-2021-41214No score

Reference binding to `nullptr` in `tf.ragged.cross`

Record: BIT-tensorflow-2021-41214
Updated: 2026-11-02

OSVopenSUSE-SU-2024:12116-1No score

tensorflow-lite-2.9.1-1.1 on GA media

These are all security issues fixed in the tensorflow-lite-2.9.1-1.1 package on the GA media of openSUSE Tumbleweed.

Record: openSUSE-SU-2024:12116-1
Updated: 2026-11-02

OSVPYSEC-2021-406No score

Record: PYSEC-2021-406
Updated: 2026-11-02

OSVPYSEC-2021-623No score

Record: PYSEC-2021-623
Updated: 2026-11-02

OSVPYSEC-2021-821No score

Record: PYSEC-2021-821
Updated: 2026-11-02

Affected products

Affected packages

Affected packages
Package	Affected	Fixed
`tensorflow` PyPI	2.6.0 up to 2.6.1	2.6.1
`tensorflow` PyPI	2.5.0 up to 2.5.2	2.5.2
`tensorflow` PyPI	before 2.4.4	2.4.4
`tensorflow-cpu` PyPI	2.6.0 up to 2.6.1	2.6.1
`tensorflow-cpu` PyPI	2.5.0 up to 2.5.2	2.5.2
`tensorflow-cpu` PyPI	before 2.4.4	2.4.4
`tensorflow-gpu` PyPI	2.6.0 up to 2.6.1	2.6.1
`tensorflow-gpu` PyPI	2.5.0 up to 2.5.2	2.5.2
`tensorflow-gpu` PyPI	before 2.4.4	2.4.4
`tensorflow` Bitnami	before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1	2.4.42.5.22.6.1

Show 9 moreShow less

Affected packages
Package	Affected	Fixed
`tensorflow` PyPI	2.5.0 up to 2.5.2, plus listed versions 2.5.1	2.5.2
`tensorflow` PyPI	before 2.4.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less 1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4	2.4.4
`tensorflow-cpu` PyPI	2.5.0 up to 2.5.2, plus listed versions 2.5.1	2.5.2
`tensorflow-cpu` PyPI	before 2.4.4, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 14 moreShow less 2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.3	2.4.4
`tensorflow-gpu` PyPI	2.5.0 up to 2.5.2, plus listed versions 2.5.1	2.5.2
`tensorflow-gpu` PyPI	before 2.4.4, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less 1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4	2.4.4
`tensorflow` PyPI	before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less 1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.0rc02.2.0rc12.2.0rc22.2.0rc32.2.0rc42.2.12.2.22.2.3	2.4.42.5.22.6.12.7.0
`tensorflow-cpu` PyPI	before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 16 moreShow less 2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.5.12.7.0rc1	2.4.42.5.22.6.12.7.0
`tensorflow-gpu` PyPI	before 2.4.4, 2.5.0 up to 2.5.2, 2.6.0 up to 2.6.1, 2.7.0rc0 up to 2.7.0, plus listed versions 0.12.00.12.11.0.01.0.11.1.0 Show 45 moreShow less 1.10.01.10.11.11.01.12.01.12.21.12.31.13.11.13.21.14.01.15.01.15.21.15.31.15.41.15.51.2.01.2.11.3.01.4.01.4.11.5.01.5.11.6.01.7.01.7.11.8.01.9.02.0.02.0.12.0.22.0.32.0.42.1.02.1.12.1.22.1.32.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.4	2.4.42.5.22.6.12.7.0

History

History
Recorded	Changed	Sources
Nov 6, 2026	facts
Nov 3, 2026	aliases	EUVD
Nov 2, 2026	first indexed	CVE List, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2021-41214 is a high vulnerability (CVSS 7.8) in Google Tensorflow, published November 5, 2021. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.22%, the 12th percentile. Fixed in tensorflow 2.6.1.

References

Show 165 moreShow less

This page doesn't list everything

Left out here: 33 versions. The JSON record has them.