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Fencer Intel
high 7.6

CVE-2022-21740 json

Heap overflow in Tensorflow

published 4y ago modified last mo. also BIT-tensorflow-2022-21740 , EUVD-2022-0303 , GHSA-44qp-9wwf-734r , PYSEC-2022-119 , PYSEC-2022-64 , PYSEC-2026-3097

cvss
7.6
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. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. 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

Is CVE-2022-21740 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

0.79% chance of exploitation in the next 30 days, higher than 56% of all scored CVEs (FIRST EPSS, 2026-11-09).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/count_ops.cc#L168-L273 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 7.6 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
GitHub 3.1 7.6 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
NVD 3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
NVD 2.0 6.5 AV:N/AC:L/Au:S/C:P/I:P/A:P
OSV 3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
OSV 3.1 7.6 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/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

Classification

Weakness
  • CWE-787 Out-of-bounds Write
  • CWE-120 Buffer Copy without Checking Size of Input

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.