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Fencer Vulns
medium 6.5

CVE-2022-23582 json

`CHECK`-failures in `TensorByteSize` in Tensorflow

published 2022-02-04 4 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2022-23582 , EUVD-2022-0330 , GHSA-4j82-5ccr-4r8v , PYSEC-2022-146 , PYSEC-2022-91 , PYSEC-2026-3100

cvss
6.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.8%
EPSS 0.8% chance of exploitation in 30 days, percentile 56%
public exploits
0
none known

Summary

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Patch / fix

  • pypi tensorflow 2.5.3, 2.6.3, 2.7.1
  • pypi tensorflow-cpu 2.5.3, 2.6.3, 2.7.1
  • pypi tensorflow-gpu 2.5.3, 2.6.3, 2.7.1
  • bitnami tensorflow 2.5.3, 2.6.3, 2.7.1

CISA SSVC

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

Exploit prediction

0.79% chance of exploitation in the next 30 days, higher than 56% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/attr_value_util.cc#L46-L50 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
GitHub 3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD 3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD 2.0 4.0 AV:N/AC:L/Au:S/C:N/I:N/A:P
OSV 3.1 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Affected packages

ecosystem package affected fixed in
pypi tensorflow
<2.5.3
>=2.6.0, <2.6.3
>=2.7.0, <2.7.1
2.5.3
2.6.3
2.7.1
pypi tensorflow-cpu
<2.5.3
>=2.6.0, <2.6.3
>=2.7.0, <2.7.1
2.5.3
2.6.3
2.7.1
pypi tensorflow-gpu
<2.5.3
>=2.6.0, <2.6.3
>=2.7.0, <2.7.1
2.5.3
2.6.3
2.7.1
bitnami tensorflow
<2.5.3
>=2.6.0, <2.6.3
>=2.7.0, <2.7.1
2.5.3
2.6.3
2.7.1

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.