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Fencer Vulns
medium 4.4

CVE-2020-26267 json

Lack of validation in data format attributes in TensorFlow

published 2020-12-10 5 y ago modified 2026-09-10 1 mo ago also BIT-tensorflow-2020-26267 , EUVD-2020-0214 , GHSA-c9f3-9wfr-wgh7 , PYSEC-2020-140 , PYSEC-2020-298 , PYSEC-2020-333

cvss
4.4
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 15%
public exploits
0
none known

Summary

In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Patch / fix

  • pypi tensorflow 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  • pypi tensorflow-cpu 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  • pypi tensorflow-gpu 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  • bitnami tensorflow 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  • google tensorflow 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2
  • tensorflow2 Package Hub 15 SP3, openSUSE Leap 15.3 2.6.0-bp153.2.3.1
  • bazel3.7 Package Hub 15 SP3, openSUSE Leap 15.3 3.7.2-bp153.4.1
  • tensorflow2-lite Package Hub 15 SP3, openSUSE Leap 15.3 2.6.0-bp153.2.3.1
  • bazel-skylib1.0.3 Package Hub 15 SP3, openSUSE Leap 15.3 1.0.3-bp153.2.1
  • tensorflow2_2_6_0-gnu-hpc Package Hub 15 SP3, openSUSE Leap 15.3 2.6.0-bp153.2.3.1
  • tensorflow2_2_6_0-gnu-openmpi2-hpc Package Hub 15 SP3, openSUSE Leap 15.3 2.6.0-bp153.2.3.1

opensuse advisories openSUSE-SU-2022:10014-1

  • tensorflow Arch Linux 2.4.0-1

arch linux advisories AVG-1348

Exploit prediction

0.24% chance of exploitation in the next 30 days, higher than 15% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c9f3-9wfr-wgh7 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 4.4 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
GitHub 3.1 4.4 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
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 4.3 AV:L/AC:L/Au:S/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
<1.15.5
>=2.0.0, <2.0.4
>=2.1.0, <2.1.3
>=2.2.0, <2.2.2
>=2.3.0, <2.3.2
1.15.5
2.0.4
2.1.3
2.2.2
2.3.2
pypi tensorflow-cpu
<1.15.5
>=2.0.0, <2.0.4
>=2.1.0, <2.1.3
>=2.2.0, <2.2.2
>=2.3.0, <2.3.2
1.15.5
2.0.4
2.1.3
2.2.2
2.3.2
pypi tensorflow-gpu
<1.15.5
>=2.0.0, <2.0.4
>=2.1.0, <2.1.3
>=2.2.0, <2.2.2
>=2.3.0, <2.3.2
1.15.5
2.0.4
2.1.3
2.2.2
2.3.2
bitnami tensorflow
<1.15.5
>=2.0.0, <2.0.4
>=2.1.0, <2.1.3
>=2.2.0, <2.2.2
>=2.3.0, <2.3.2
1.15.5
2.0.4
2.1.3
2.2.2
2.3.2

Affected products

  • tensorflow tensorflow

Classification

Weakness

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.