Pyspark User Impersonation Vulnerability

published 2019-02-04 7 y ago modified 2026-06-17 4 mo ago also GHSA-fvxv-9xxr-h7wj , PYSEC-2019-169 , EUVD-2019-0111

cvss: 5.5; version 3.0, NVD
cisa kev: Not listed; not in CISA's catalog
epss: 0.6%; EPSS 0.6% chance of exploitation in 30 days, percentile 49%
public exploits: 0; none known

When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1.

Patch / fix

fixed in 1

pypi pyspark 2.2.3, 2.3.2

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2018-11760 updated 2026-08-04 cvss 7.1

spark: local priviledge escalation when using PySpark

Red Hat JBoss Fuse 6 camel
affected: no fix planned “Out of support scope”
Red Hat Fuse 7 camel
not affected: vulnerable code not present

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

Exploit prediction

0.60% chance of exploitation in the next 30 days, higher than 49% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by	version	score	vector
NVD	3.0	5.5	CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
NVD	2.0	2.1	AV:L/AC:L/Au:N/C:N/I:P/A:N
GitHub	3.0	5.5	CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N

Affected packages

ecosystem	package	affected	fixed in
pypi	pyspark	>=2.3.0, <2.3.2 >=1.0.2, <2.2.3	2.3.2 2.2.3

Affected products

Apache Software Foundation Apache Spark

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.

Summary