CVE-2018-11760 json
Pyspark User Impersonation Vulnerability
published 7y ago modified 4mo 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
Summary
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
- pypi pyspark 2.2.3, 2.3.2
Is CVE-2018-11760 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerVendor 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 cvss 7.1
spark: local priviledge escalation when using PySpark
-
Red Hat JBoss Fuse 6 camelaffected: no fix planned “Out of support scope”
-
Red Hat Fuse 7 camelnot 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
0.61% chance of exploitation in the next 30 days, higher than 49% of all scored CVEs (FIRST EPSS, 2026-11-09).
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
-
securityfocus.com
/bid/106786
vdb-entry, third-party-advisory, web
-
lists.apache.org
/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b%40%3Cuser.spark.apache.org%3E
mailing-list
-
lists.apache.org
/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e%40%3Ccommits.spark.apache.org%3E
mailing-list
-
nvd.nist.gov
/vuln/detail/CVE-2018-11760
advisory
-
github.com
/advisories/GHSA-fvxv-9xxr-h7wj
advisory
-
github.com
/apache/spark
web
-
github.com
/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2019-169.yaml
web
-
lists.apache.org
/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e@%3Ccommits.spark.apache.org%3E
web
-
lists.apache.org
/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b@%3Cuser.spark.apache.org%3E
web
-
web.archive.org
/web/20200227091119/http://www.securityfocus.com/bid/106786
web
-
web.archive.org
/web/20200925111106/https://issues.apache.org/jira/browse/SPARK-26802
web
Sources
- CVE List CVE-2018-11760
- GitHub Advisory GHSA-fvxv-9xxr-h7wj
- NVD CVE-2018-11760
- OSV PYSEC-2019-169
Fencer Intel 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.