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Fencer Vulns
high 7.5

CVE-2020-15203 json

Denial of Service in Tensorflow

published 2020-09-25 6 y ago modified 2026-09-08 2 mo ago also BIT-tensorflow-2020-15203 , EUVD-2020-0199 , GHSA-xmq7-7fxm-rr79 , PYSEC-2020-126 , PYSEC-2020-283 , PYSEC-2020-318

cvss
7.5
version 3.1, CNA
cisa kev
Not listed
not in CISA's catalog
epss
1.0%
EPSS 1.0% 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, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, 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

0.97% 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-xmq7-7fxm-rr79 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by version score vector
CNA 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
GitHub 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
NVD 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
NVD 2.0 5.0 AV:N/AC:L/Au:N/C:N/I:N/A:P
OSV 3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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-20 Improper Input Validation
  • CWE-134 Use of Externally-Controlled Format String

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.