vulnwire
6.5med

CVE-2018-7576

Null pointer dereference in TensorFlow leads to exploitation

Also known as GHSA-jfq2-rj7f-9gvf, PYSEC-2019-206, PYSEC-2019-224, PYSEC-2019-231

Published 7 y ago · modified 4 mo ago · JSON

CVSS
6.5
v3.0 · NVD
CISA KEV
No
not known exploited
EPSS
0.5%
percentile 40%
Public exploits
0
none known

Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent.

Exploit prediction (EPSS)

0.46% probability of exploitation in the next 30 days, higher than 40% of all scored CVEs.

CVSS scores

Assigned byVersionScoreVector
NVD3.06.5CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
NVD2.04.3AV:N/AC:M/Au:N/C:N/I:N/A:P
GitHub3.06.5CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Affected packages

EcosystemPackageAffectedFixed in
pypitensorflow
>=1.0.0, <1.6.0
<1.7.0rc0
1.6.0
1.7.0rc0
pypitensorflow-gpu
>=1.0.0, <1.6.0
<1.7.0rc0
1.6.0
1.7.0rc0
pypitensorflow-cpu
<1.7.0rc0
1.7.0rc0

Classification

Weakness

References

  • github.com /tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-002.md · x_refsource_CONFIRM, x_transferred
  • nvd.nist.gov /vuln/detail/CVE-2018-7576 · advisory
  • github.com /tensorflow/tensorflow/commit/c48431588e7cf8aff61d4c299231e3e925144df8 · web
  • github.com /advisories/GHSA-jfq2-rj7f-9gvf · advisory
  • github.com /pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-224.yaml · web
  • github.com /pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-231.yaml · web
  • github.com /pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-206.yaml · web
  • github.com /tensorflow/tensorflow · package

Sources

vulnwire keeps one entry per vulnerability: the CVE id wins, then GHSA; records that alias each other are merged. Machine-readable: JSON.