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Fencer Vulns
medium 4.8

CVE-2022-41884 json

Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow

published 2022-11-18 3 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-41884 , EUVD-2022-7375 , GHSA-jq6x-99hj-q636 , PYSEC-2026-1013 , PYSEC-2026-3208 , PYSEC-2026-3345

cvss
4.8
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.4%
EPSS 0.4% chance of exploitation in 30 days, percentile 31%
public exploits
0
none known

Summary

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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
  • tensorflow CBL-Mariner 2.0 2.11.0-1

azure linux advisories AZL-11525

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

0.37% chance of exploitation in the next 30 days, higher than 31% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jq6x-99hj-q636 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-670 Always-Incorrect Control Flow Implementation

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.