Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow

published 2022-05-20 4 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-29192 , EUVD-2022-4047 , GHSA-h2wq-prv9-2f56 , PYSEC-2026-1002 , PYSEC-2026-3195 , PYSEC-2026-3334

cvss: 5.5; version 3.1, CNA
cisa kev: Not listed; not in CISA's catalog
epss: 0.3%; EPSS 0.3% chance of exploitation in 30 days, percentile 28%
public exploits: 0; none known

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Patch / fix

fixed in 5 links 5

pypi tensorflow 2.6.4, 2.7.2, 2.8.1
pypi tensorflow-cpu 2.6.4, 2.7.2, 2.8.1
pypi tensorflow-gpu 2.6.4, 2.7.2, 2.8.1
bitnami tensorflow 2.6.4, 2.7.2, 2.8.1
google tensorflow 2.6.4, 2.7.2, 2.8.1

CISA SSVC

Exploitation: Proof of concept is public
Automatable: no
Technical impact: partial
Assessed: 18 mo ago (2025-04-22)

Exploit prediction

0.35% chance of exploitation in the next 30 days, higher than 28% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h2wq-prv9-2f56 referenced PoC, tagged "exploit" by a source, unverified
github.com https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L148-L226 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by	version	score	vector
CNA	3.1	5.5	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
GitHub	3.1	5.5	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD	3.1	5.5	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD	2.0	2.1	AV:L/AC:L/Au:N/C:N/I:N/A:P
OSV	3.1	5.5	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Affected packages

ecosystem	package	affected	fixed in
pypi	tensorflow	<2.6.4 >=2.7.0, <2.7.2 >=2.8.0, <2.8.1	2.6.4 2.7.2 2.8.1
pypi	tensorflow-cpu	<2.6.4 >=2.7.0, <2.7.2 >=2.8.0, <2.8.1	2.6.4 2.7.2 2.8.1
pypi	tensorflow-gpu	<2.6.4 >=2.7.0, <2.7.2 >=2.8.0, <2.8.1	2.6.4 2.7.2 2.8.1
bitnami	tensorflow	<2.6.4 >=2.7.0, <2.7.2 >=2.8.0, <2.8.1	2.6.4 2.7.2 2.8.1

Affected products

tensorflow tensorflow

Classification

Weakness

CWE-20 Improper Input Validation

References

github.com /tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58
web, patch, third-party-advisory, advisory
github.com /tensorflow/tensorflow/security/advisories/GHSA-h2wq-prv9-2f56
web, exploit, third-party-advisory, advisory
github.com /tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize_and_dequ
web, exploit, third-party-advisory, advisory
github.com /tensorflow/tensorflow/releases/tag/v2.6.4
web, release-notes, third-party-advisory, advisory
github.com /tensorflow/tensorflow/releases/tag/v2.7.2
web, release-notes, third-party-advisory, advisory
github.com /tensorflow/tensorflow/releases/tag/v2.8.1
web, release-notes, third-party-advisory, advisory
github.com /tensorflow/tensorflow/releases/tag/v2.9.0
web, release-notes, third-party-advisory, advisory
nvd.nist.gov /vuln/detail/CVE-2022-29192
advisory, web
github.com /tensorflow/tensorflow
package
pypi.org /project/tensorflow-gpu
package
github.com /advisories/GHSA-h2wq-prv9-2f56
advisory
pypi.org /project/tensorflow
package
pypi.org /project/tensorflow-cpu
package

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.

Summary