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Fencer Vulns
medium 4.8

CVE-2022-41890 json

`CHECK` fail in `BCast` overflow in Tensorflow

published 2022-11-18 3 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-41890 , EUVD-2022-7354 , GHSA-h246-cgh4-7475 , PYSEC-2026-1001 , PYSEC-2026-3194 , PYSEC-2026-3333

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 `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. 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-11529

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

CISA SSVC

Exploitation
Proof of concept is public
Automatable
no
Technical impact
partial
Assessed
18 mo ago

Exploit prediction

0.49% chance of exploitation in the next 30 days, higher than 42% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h246-cgh4-7475 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-704 Incorrect Type Conversion or Cast

References

Sources

Fencer Vulns 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.