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CVE-2022-41897

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

4.8 MediumFix available

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-2022-41897
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-125
Updated
2026-11-02
EUVDEUVD-2022-7320 4.8

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-2022-7320
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-f2w8-jw48-fr7j 4.8

`FractionalMaxPoolGrad` Heap out of bounds read

Impact

If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
	orig_input = [[[[1, 1, 1, 1, 1]]]],
    orig_output = [[[[1, 1, 1]]]],
    out_backprop = [[[[3], [3], [6]]]],
    row_pooling_sequence = [-0x4000000, 1, 1], 
    col_pooling_sequence = [-0x4000000, 1, 1], 
    overlapping = False
 )

Patches

We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.

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 Vul AI.

Record
GHSA-f2w8-jw48-fr7j
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-125
Updated
2026-11-02
NVD 4.8

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-2022-41897
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-125
Updated
2026-11-02
OSVAZL-11535 7.5

CVE-2022-41897 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-11535
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

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-2022-41897
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-125
Updated
2026-11-02
Show 5 moreShow less
OSVGHSA-f2w8-jw48-fr7j 4.8

`FractionalMaxPoolGrad` Heap out of bounds read

Impact

If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
	orig_input = [[[[1, 1, 1, 1, 1]]]],
    orig_output = [[[[1, 1, 1]]]],
    out_backprop = [[[[3], [3], [6]]]],
    row_pooling_sequence = [-0x4000000, 1, 1], 
    col_pooling_sequence = [-0x4000000, 1, 1], 
    overlapping = False
 )

Patches

We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.

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 Vul AI.

Record
GHSA-f2w8-jw48-fr7j
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-125
Updated
2026-11-02
OSVPYSEC-2026-3165 4.8

`FractionalMaxPoolGrad` Heap out of bounds read

Impact

If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
	orig_input = [[[[1, 1, 1, 1, 1]]]],
    orig_output = [[[[1, 1, 1]]]],
    out_backprop = [[[[3], [3], [6]]]],
    row_pooling_sequence = [-0x4000000, 1, 1], 
    col_pooling_sequence = [-0x4000000, 1, 1], 
    overlapping = False
 )

Patches

We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.

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 Vul AI.

Record
PYSEC-2026-3165
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-2026-3313 4.8

`FractionalMaxPoolGrad` Heap out of bounds read

Impact

If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
	orig_input = [[[[1, 1, 1, 1, 1]]]],
    orig_output = [[[[1, 1, 1]]]],
    out_backprop = [[[[3], [3], [6]]]],
    row_pooling_sequence = [-0x4000000, 1, 1], 
    col_pooling_sequence = [-0x4000000, 1, 1], 
    overlapping = False
 )

Patches

We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.

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 Vul AI.

Record
PYSEC-2026-3313
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-2026-984 4.8

`FractionalMaxPoolGrad` Heap out of bounds read

Impact

If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.FractionMaxPoolGrad(
	orig_input = [[[[1, 1, 1, 1, 1]]]],
    orig_output = [[[[1, 1, 1]]]],
    out_backprop = [[[[3], [3], [6]]]],
    row_pooling_sequence = [-0x4000000, 1, 1], 
    col_pooling_sequence = [-0x4000000, 1, 1], 
    overlapping = False
 )

Patches

We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927.

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 Vul AI.

Record
PYSEC-2026-984
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-2022-41897 No score

`FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs row_pooling_sequence and col_pooling_sequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. 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-2022-41897
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-2022-41897 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

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