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Fencer Vulns
high 8.5

CVE-2020-15195 json

Heap buffer overflow in Tensorflow

published 2020-09-25 6 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2020-15195 , EUVD-2020-0191 , GHSA-63xm-rx5p-xvqr , PYSEC-2020-118 , PYSEC-2020-275 , PYSEC-2020-310

cvss
8.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.9%
EPSS 0.9% chance of exploitation in 30 days, percentile 61%
public exploits
0
none known

Summary

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Patch / fix

  • pypi tensorflow 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • pypi tensorflow-cpu 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • pypi tensorflow-gpu 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • bitnami tensorflow 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • google tensorflow 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1
  • tensorflow2 openSUSE Leap 15.2 2.1.2-lp152.7.3.1
  • tensorflow2-lite openSUSE Leap 15.2 2.1.2-lp152.7.3.1
  • tensorflow2_2_1_2-gnu-hpc openSUSE Leap 15.2 2.1.2-lp152.7.3.1
  • tensorflow2_2_1_2-gnu-openmpi2-hpc openSUSE Leap 15.2 2.1.2-lp152.7.3.1

opensuse advisories openSUSE-SU-2020:1766-1

Exploit prediction

0.95% chance of exploitation in the next 30 days, higher than 61% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

  • github.com https://github.com/tensorflow/tensorflow/security/advisories/GHSA-63xm-rx5p-xvqr referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 8.5 CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H
GitHub 3.1 8.5 CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/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

Affected packages

ecosystem package affected fixed in
pypi tensorflow
<1.15.4
>=2.0.0, <2.0.3
>=2.1.0, <2.1.2
>=2.2.0, <2.2.1
>=2.3.0, <2.3.1
1.15.4
2.0.3
2.1.2
2.2.1
2.3.1
pypi tensorflow-cpu
<1.15.4
>=2.0.0, <2.0.3
>=2.1.0, <2.1.2
>=2.2.0, <2.2.1
>=2.3.0, <2.3.1
1.15.4
2.0.3
2.1.2
2.2.1
2.3.1
pypi tensorflow-gpu
<1.15.4
>=2.0.0, <2.0.3
>=2.1.0, <2.1.2
>=2.2.0, <2.2.1
>=2.3.0, <2.3.1
1.15.4
2.0.3
2.1.2
2.2.1
2.3.1
bitnami tensorflow
<1.15.4
>=2.0.0, <2.0.3
>=2.1.0, <2.1.2
>=2.2.0, <2.2.1
>=2.3.0, <2.3.1
1.15.4
2.0.3
2.1.2
2.2.1
2.3.1

Affected products

  • tensorflow tensorflow

Classification

Weakness
  • CWE-119 Improper Restriction of Operations within the Bounds of a Memory Buffer
  • CWE-122 Heap-based Buffer Overflow
  • CWE-787 Out-of-bounds Write

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.