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Fencer Intel
medium 5.5

CVE-2022-29212 json

Core dump when loading TFLite models with quantization in TensorFlow

published 4y ago modified 2mo ago also BIT-tensorflow-2022-29212 , EUVD-2022-3254 , GHSA-8wwm-6264-x792 , PYSEC-2026-3141 , PYSEC-2026-3299 , PYSEC-2026-972

cvss
5.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.3%
EPSS 0.3% chance of exploitation in 30 days, percentile 25%
public exploits
0
none known

Summary

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Patch / fix

  • pypi tensorflow 2.6.4, 2.7.2, 2.8.1
  • pypi tensorflow-cpu 2.6.4, 2.7.2, 2.8.1
  • pypi tensorflow-gpu 2.6.4, 2.7.2, 2.8.1
  • bitnami tensorflow 2.6.4, 2.7.2, 2.8.1
  • google tensorflow 2.6.4, 2.7.2

Is CVE-2022-29212 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.

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CISA SSVC

Exploitation
Proof of concept is public
Automatable
no
Technical impact
partial
Assessed
last yr.

Exploit prediction

0.32% chance of exploitation in the next 30 days, higher than 25% of all scored CVEs (FIRST EPSS, 2026-11-09).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8wwm-6264-x792 referenced PoC, tagged "exploit" by a source, unverified
  • github.com https://github.com/tensorflow/tensorflow/issues/43661 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
GitHub 3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD 3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVD 2.0 2.1 AV:L/AC:L/Au:N/C:N/I:N/A:P
OSV 3.1 5.5 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Affected packages

ecosystem package affected fixed in
pypi tensorflow
<2.6.4
>=2.7.0, <2.7.2
>=2.8.0, <2.8.1
2.6.4
2.7.2
2.8.1
pypi tensorflow-cpu
<2.6.4
>=2.7.0, <2.7.2
>=2.8.0, <2.8.1
2.6.4
2.7.2
2.8.1
pypi tensorflow-gpu
<2.6.4
>=2.7.0, <2.7.2
>=2.8.0, <2.8.1
2.6.4
2.7.2
2.8.1
bitnami tensorflow
<2.6.4
>=2.7.0, <2.7.2
>=2.8.0, <2.8.1
2.6.4
2.7.2
2.8.1

Affected products

  • tensorflow tensorflow

Classification

Weakness
  • CWE-20 Improper Input Validation

References

Sources

Fencer Intel 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.