Every CVE Search/ Get API key

CVE-2022-41893

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow

4.8 MediumFix available

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
High
Privileges needed
Low
User interaction
Required

What an attacker can affect

Confidentiality
None
Integrity
None
Availability
High

Exploit likelihood

0.49%Down 0.4 points since Nov 19, 2022
90%50%10%1%

What each source reports

CVE List Score used 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
CVE-2022-41893
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-617
Updated
2026-11-02
EUVDEUVD-2022-7254 4.8

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
EUVD-2022-7254
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
GitHub AdvisoriesGHSA-67pf-62xr-q35m 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact

If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.

import numpy as np
import tensorflow as tf

a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])

tf.raw_ops.TensorListResize(input_handle=a, size=b)

Patches

We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.

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-67pf-62xr-q35m
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-617
Updated
2026-11-02
NVD 4.8

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
CVE-2022-41893
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness
CWE-617
Updated
2026-11-02
OSVAZL-11531 7.5

CVE-2022-41893 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
AZL-11531
CVSS 3.1
7.5 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSV 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
CVE-2022-41893
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-617
Updated
2026-11-02
Show 5 moreShow less
OSVGHSA-67pf-62xr-q35m 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact

If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.

import numpy as np
import tensorflow as tf

a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])

tf.raw_ops.TensorListResize(input_handle=a, size=b)

Patches

We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.

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-67pf-62xr-q35m
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Weakness
CWE-617
Updated
2026-11-02
OSVPYSEC-2026-3118 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact

If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.

import numpy as np
import tensorflow as tf

a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])

tf.raw_ops.TensorListResize(input_handle=a, size=b)

Patches

We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.

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
PYSEC-2026-3118
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVPYSEC-2026-3284 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact

If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.

import numpy as np
import tensorflow as tf

a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])

tf.raw_ops.TensorListResize(input_handle=a, size=b)

Patches

We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.

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
PYSEC-2026-3284
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVPYSEC-2026-958 4.8

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize`

Impact

If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack.

import numpy as np
import tensorflow as tf

a = data_structures.tf_tensor_list_new(elements = tf.constant(value=[3, 4, 5]))
b = np.zeros([0, 2, 3, 3])

tf.raw_ops.TensorListResize(input_handle=a, size=b)

Patches

We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56.

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
PYSEC-2026-958
CVSS 3.1
4.8 MediumCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Updated
2026-11-02
OSVBIT-tensorflow-2022-41893 No score

`CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow

TensorFlow is an open source platform for machine learning. If tf.raw_ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. 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.

Record
BIT-tensorflow-2022-41893
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
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
Azure Linux:2
 before 2.11.0-1
2.11.0-1
Show 10 moreShow less
Affected packages
PackageAffectedFixed
tensorflow
Bitnami
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1
2.8.42.9.32.10.1
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
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
tensorflow
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, 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
2.8.42.9.32.10.1
tensorflow-cpu
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, plus listed versions
1.15.02.1.02.1.12.1.22.1.3
Show 36 moreShow less
2.1.42.2.02.2.12.2.22.2.32.3.02.3.12.3.22.3.32.3.42.4.02.4.12.4.22.4.32.4.42.5.02.5.12.5.22.5.32.6.02.6.12.6.22.6.32.6.42.6.52.7.02.7.12.7.22.7.32.7.42.8.02.8.12.8.22.8.32.9.12.9.2
2.8.42.9.32.10.1
tensorflow-gpu
PyPI
 before 2.8.4, 2.9.0 up to 2.9.3, 2.10.0 up to 2.10.1, 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
2.8.42.9.32.10.1

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

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

In short

CVE-2022-41893 is a medium vulnerability (CVSS 4.8) in Google Tensorflow, published November 18, 2022. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.49%, the 42nd percentile. Fixed in tensorflow 2.8.4.

References

Show 4 moreShow less
This page doesn't list everything

Left out here: 122 versions. The JSON record has them.

Pages All vulnerabilities Browse Docs Sources Guide Get API key
MoveEnter Open