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CVE-2018-1334

In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to…

Description

In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application.

Timeline

  1. ID reserved

    By apache

  2. · 7 months later

    Published

  3. · 6 years later

    Record updated

Changes after publication (a new score, a public exploit, EPSS crossing 1, 10 or 50 %, leaving KEV) are kept since November 2026; earlier ones are not known.

Scores

CVSS scores of CVE-2018-1334, by who scored it
Scored byCVSSScoreVector
NVDNVD · Modified3.0Medium4.7CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N
EPSS (exploitation in 30 days)
0.50% · top 57% of all CVEs (10 Nov 2026)
Loading the EPSS history…

The list uses the assigner's score when there is one, then CISA's, then NVD's: Medium 4.7.

Affected products

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References

2

Sources

The same CVE in the primary databases and aggregators, to check against.

Badge for a README or a ticket

CVE-2018-1334 badge
[![CVE-2018-1334](https://cveledger.app/badge/CVE-2018-1334.svg)](https://cveledger.app/cve/CVE-2018-1334)

Record last updated .