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CVE-2022-41896

`tf.raw_ops.Mfcc` crashes in Tensorflow

4.8 MediumFix available

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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

`tf.raw_ops.Mfcc` crashes in Tensorflow

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-2022-41896
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-20
Updated
2026-11-02
EUVDEUVD-2022-7428 4.8

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-2022-7428
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-rmg2-f698-wq35 4.8

`tf.raw_ops.Mfcc` crashes

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.Mfcc(
    spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
    sample_rate = 2,
    upper_frequency_limit = 5.0,
    lower_frequency_limit = 1.0,
    filterbank_channel_count = 2**31 - 1,
    dct_coefficient_count = 1
)

Patches

We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.

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-rmg2-f698-wq35
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-20, CWE-1284
Updated
2026-11-02
NVD 4.8

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-2022-41896
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-20, CWE-1284
Updated
2026-11-02
OSVAZL-11534 7.5

CVE-2022-41896 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-11534
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

`tf.raw_ops.Mfcc` crashes in Tensorflow

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-2022-41896
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-20
Updated
2026-11-02
Show 5 moreShow less
OSVGHSA-rmg2-f698-wq35 4.8

`tf.raw_ops.Mfcc` crashes

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.Mfcc(
    spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
    sample_rate = 2,
    upper_frequency_limit = 5.0,
    lower_frequency_limit = 1.0,
    filterbank_channel_count = 2**31 - 1,
    dct_coefficient_count = 1
)

Patches

We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.

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-rmg2-f698-wq35
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-1284, CWE-20
Updated
2026-11-02
OSVPYSEC-2026-1035 4.8

`tf.raw_ops.Mfcc` crashes

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.Mfcc(
    spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
    sample_rate = 2,
    upper_frequency_limit = 5.0,
    lower_frequency_limit = 1.0,
    filterbank_channel_count = 2**31 - 1,
    dct_coefficient_count = 1
)

Patches

We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.

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-2026-1035
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-2026-3239 4.8

`tf.raw_ops.Mfcc` crashes

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.Mfcc(
    spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
    sample_rate = 2,
    upper_frequency_limit = 5.0,
    lower_frequency_limit = 1.0,
    filterbank_channel_count = 2**31 - 1,
    dct_coefficient_count = 1
)

Patches

We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.

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-2026-3239
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-2026-3369 4.8

`tf.raw_ops.Mfcc` crashes

Impact

If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash.

import tensorflow as tf
tf.raw_ops.Mfcc(
    spectrogram = [[[1.38, 6.32, 5.75, 9.51]]],
    sample_rate = 2,
    upper_frequency_limit = 5.0,
    lower_frequency_limit = 1.0,
    filterbank_channel_count = 2**31 - 1,
    dct_coefficient_count = 1
)

Patches

We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860.

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-2026-3369
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-2022-41896 No score

`tf.raw_ops.Mfcc` crashes in Tensorflow

TensorFlow is an open source platform for machine learning. If ThreadUnsafeUnigramCandidateSampler is given input filterbank_channel_count greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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-2022-41896
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-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
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

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-2022-41896 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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Left out here: 122 versions. The JSON record has them.

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