Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`

published 2022-05-20 4 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-29202 , EUVD-2022-3651 , GHSA-cwpm-f78v-7m5c , PYSEC-2026-3163 , PYSEC-2026-3312 , PYSEC-2026-983

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 25%
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.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. 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 7

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

CISA SSVC

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

Exploit prediction

0.32% chance of exploitation in the next 30 days, higher than 25% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwpm-f78v-7m5c 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
CWE-400 Uncontrolled Resource Consumption
CWE-1284 Improper Validation of Specified Quantity in Input

References

github.com /tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e
web, patch, third-party-advisory, advisory
github.com /tensorflow/tensorflow/security/advisories/GHSA-cwpm-f78v-7m5c
web, exploit, patch, third-party-advisory, advisory
github.com /tensorflow/tensorflow/issues/55199
web, issue-tracking, patch, 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
github.com /tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_facto
web, third-party-advisory, advisory
nvd.nist.gov /vuln/detail/CVE-2022-29202
advisory, web
github.com /tensorflow/tensorflow
package
pypi.org /project/tensorflow
package
github.com /advisories/GHSA-cwpm-f78v-7m5c
advisory
pypi.org /project/tensorflow-cpu
package
pypi.org /project/tensorflow-gpu
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