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Fencer Vulns
high 7.8

CVE-2021-41203 json

Missing validation during checkpoint loading

published 2021-11-05 5 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2021-41203 , EUVD-2021-0426 , GHSA-7pxj-m4jf-r6h2 , PYSEC-2021-396 , PYSEC-2021-613 , PYSEC-2021-811

cvss
7.8
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.2%
EPSS 0.2% chance of exploitation in 30 days, percentile 8%
public exploits
0
none known

Summary

TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Patch / fix

  • pypi tensorflow 2.4.4, 2.5.2, 2.6.1, 2.7.0
  • pypi tensorflow-cpu 2.4.4, 2.5.2, 2.6.1, 2.7.0
  • pypi tensorflow-gpu 2.4.4, 2.5.2, 2.6.1, 2.7.0
  • bitnami tensorflow 2.4.4, 2.5.2, 2.6.1
  • google tensorflow 2.4.4, 2.5.2, 2.6.1
  • tensorflow Arch Linux 2.6.1-1

arch linux advisories AVG-2529

Exploit prediction

0.19% chance of exploitation in the next 30 days, higher than 8% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
GitHub 3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
NVD 3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
NVD 2.0 4.6 AV:L/AC:L/Au:N/C:P/I:P/A:P
OSV 3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Affected packages

ecosystem package affected fixed in
pypi tensorflow
>=2.6.0, <2.6.1
>=2.5.0, <2.5.2
<2.4.4
>=2.7.0rc0, <2.7.0
2.6.1
2.5.2
2.4.4
2.7.0
pypi tensorflow-cpu
>=2.6.0, <2.6.1
>=2.5.0, <2.5.2
<2.4.4
>=2.7.0rc0, <2.7.0
2.6.1
2.5.2
2.4.4
2.7.0
pypi tensorflow-gpu
>=2.6.0, <2.6.1
>=2.5.0, <2.5.2
<2.4.4
>=2.7.0rc0, <2.7.0
2.6.1
2.5.2
2.4.4
2.7.0
bitnami tensorflow
<2.4.4
>=2.5.0, <2.5.2
>=2.6.0, <2.6.1
2.4.4
2.5.2
2.6.1

Affected products

  • tensorflow tensorflow

Classification

Weakness
  • CWE-345 Insufficient Verification of Data Authenticity
  • CWE-190 Integer Overflow or Wraparound

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.