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Fencer Intel
medium 4.8

CVE-2022-41896 json

`tf.raw_ops.Mfcc` crashes in Tensorflow

published 3y ago modified 2mo ago also BIT-tensorflow-2022-41896 , EUVD-2022-7428 , GHSA-rmg2-f698-wq35 , PYSEC-2026-1035 , PYSEC-2026-3239 , PYSEC-2026-3369

cvss
4.8
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.5%
EPSS 0.5% chance of exploitation in 30 days, percentile 42%
public exploits
0
none known

Summary

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.

Patch / fix

  • pypi tensorflow 2.8.4, 2.9.3, 2.10.1
  • pypi tensorflow-cpu 2.8.4, 2.9.3, 2.10.1
  • pypi tensorflow-gpu 2.8.4, 2.9.3, 2.10.1
  • bitnami tensorflow 2.8.4, 2.9.3, 2.10.1
  • google tensorflow 2.8.4, 2.9.3, 2.10.1
  • tensorflow CBL-Mariner 2.0 2.11.0-1

azure linux advisories AZL-11534

Azure Linux vulnerability data, Copyright (c) Microsoft Corporation, from https://github.com/microsoft/AzureLinuxVulnerabilityData via OSV, under the MIT licence; changed: normalised to fixed package versions per release. MIT

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CISA SSVC

Exploitation
Proof of concept is public
Automatable
no
Technical impact
partial
Assessed
last yr.

Exploit prediction

0.49% chance of exploitation in the next 30 days, higher than 42% of all scored CVEs (FIRST EPSS, 2026-11-09).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rmg2-f698-wq35 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 4.8 CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
GitHub 3.1 4.8 CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
NVD 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
OSV 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
OSV 3.1 4.8 CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

Affected packages

ecosystem package affected fixed in
pypi tensorflow
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1
pypi tensorflow-cpu
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1
pypi tensorflow-gpu
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1
bitnami tensorflow
<2.8.4
>=2.9.0, <2.9.3
>=2.10.0, <2.10.1
2.8.4
2.9.3
2.10.1

Affected products

  • tensorflow tensorflow

Classification

Weakness
  • CWE-20 Improper Input Validation
  • CWE-1284 Improper Validation of Specified Quantity in Input

References

Sources

Fencer Intel 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.