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Fencer Vulns
low 2.5

CVE-2021-29532 json

Heap out of bounds read in `RaggedCross`

published 2021-05-14 5 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2021-29532 , EUVD-2021-0273 , GHSA-j47f-4232-hvv8 , PYSEC-2021-169 , PYSEC-2021-460 , PYSEC-2021-658

cvss
2.5
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 9%
public exploits
0
none known

Summary

TensorFlow is an end-to-end open source platform for machine learning. An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to `tf.raw_ops.RaggedCross`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efea03b38fb8d3b81762237dc85e579cc5fc6e87/tensorflow/core/kernels/ragged_cross_op.cc#L456-L487) lacks validation for the user supplied arguments. Each of the above branches call a helper function after accessing array elements via a `*_list[next_*]` pattern, followed by incrementing the `next_*` index. However, as there is no validation that the `next_*` values are in the valid range for the corresponding `*_list` arrays, this results in heap OOB reads. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Patch / fix

  • pypi tensorflow 2.1.4, 2.2.0rc0, 2.2.3, 2.3.0rc0, 2.3.3, 2.3.4, 2.4.2, 2.4.3
  • pypi tensorflow-cpu 2.1.4, 2.2.0rc0, 2.2.3, 2.3.0rc0, 2.3.3, 2.3.4, 2.4.2, 2.4.3
  • pypi tensorflow-gpu 2.1.4, 2.2.0rc0, 2.2.3, 2.3.0rc0, 2.3.3, 2.3.4, 2.4.2, 2.4.3
  • bitnami tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2
  • google tensorflow 2.1.4, 2.2.3, 2.3.3, 2.4.2
  • tensorflow Arch Linux 2.5.0-1

arch linux advisories AVG-1962

Exploit prediction

0.20% chance of exploitation in the next 30 days, higher than 9% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j47f-4232-hvv8 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 2.5 CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
GitHub 3.1 2.5 CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
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
<2.1.4
>=2.2.0, <2.2.3
>=2.3.0, <2.3.3
>=2.4.0, <2.4.2
<2.2.0rc0
>=2.2.0, <2.3.0rc0
>=2.3.0, <2.3.4
>=2.4.0, <2.4.3
2.1.4
2.2.3
2.3.3
2.4.2
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3
pypi tensorflow-cpu
<2.1.4
>=2.2.0, <2.2.3
>=2.3.0, <2.3.3
>=2.4.0, <2.4.2
<2.2.0rc0
>=2.2.0, <2.3.0rc0
>=2.3.0, <2.3.4
>=2.4.0, <2.4.3
2.1.4
2.2.3
2.3.3
2.4.2
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3
pypi tensorflow-gpu
<2.1.4
>=2.2.0, <2.2.3
>=2.3.0, <2.3.3
>=2.4.0, <2.4.2
<2.2.0rc0
>=2.2.0, <2.3.0rc0
>=2.3.0, <2.3.4
>=2.4.0, <2.4.3
2.1.4
2.2.3
2.3.3
2.4.2
2.2.0rc0
2.3.0rc0
2.3.4
2.4.3
bitnami tensorflow
<2.1.4
>=2.2.0, <2.2.3
>=2.3.0, <2.3.3
>=2.4.0, <2.4.2
2.1.4
2.2.3
2.3.3
2.4.2

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.