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Fencer Vulns
high 7.1

CVE-2021-41211 json

Heap OOB read in shape inference for `QuantizeV2`

published 2021-11-05 5 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2021-41211 , EUVD-2021-0433 , GHSA-cvgx-3v3q-m36c , PYSEC-2021-403 , PYSEC-2021-620 , PYSEC-2021-818

cvss
7.1
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 10%
public exploits
0
none known

Summary

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

Patch / fix

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

arch linux advisories AVG-2529

Exploit prediction

0.21% chance of exploitation in the next 30 days, higher than 10% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cvgx-3v3q-m36c referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 7.1 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
GitHub 3.1 7.1 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
NVD 3.1 7.1 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
NVD 2.0 3.6 AV:L/AC:L/Au:N/C:P/I:N/A:P
OSV 3.1 7.1 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

Affected packages

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

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.