CVE-2018-11760

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.

Published: 2019-02-04 Last update: 2024-11-21 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2018-11760 is rated Low Risk (34.3/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.16%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Exploit prediction scoring system (EPSS) score for CVE-2018-11760

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-05-03 0.49% 0.16% -0.33%
2 2025-12-10 0.44% 0.49% +0.05%
3 2025-11-21 0.44%

Full EPSS history (10 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2018-11760

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
5.5 3.0 MEDIUM
CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N Click to expand
Attack vector (AV:L)
They already need access on the box, or another person has to do something wrong; it’s not a remote drive-by.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:N)
Service keeps running; no real outage angle.
1.8 3.6 [email protected]
2.1 2.0 LOW
AV:L/AC:L/Au:N/C:N/I:P/A:N Click to expand
Access vector (AV:L)
Requires local access to the target system.
Access complexity (AC:L)
Exploitation conditions are straightforward and predictable.
Authentication (AU:N)
No authentication is required.
Confidentiality impact (C:N)
No confidentiality impact.
Integrity impact (I:P)
Partial integrity impact.
Availability impact (A:N)
No availability impact.
3.9 2.9 [email protected]

Weakness enumeration for CVE-2018-11760

GitHub Security Advisory for CVE-2018-11760

GHSA-fvxv-9xxr-h7wj · Severity: medium · Ecosystem: pip — Pyspark User Impersonation Vulnerability

OS Trackers for CVE-2018-11760

vendor priority summary link
redhat medium https://access.redhat.com/security/cve/CVE-2018-11760
suse high CVE-2018-11760 severity important: SUSE including 1 source package names (spark), 3 product×package rows across 3 product lines (HPE Helion OpenStack 8, SUSE OpenStack Cloud 8, SUSE OpenStack Cloud Crowbar 8): Known Not Affected 3. https://www.suse.com/security/cve/CVE-2018-11760/

Affected software / configurations for CVE-2018-11760

Vendor Product Version Raw CPE
apache spark >= 1.0.2, <= 1.6.3 cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*
apache spark >= 2.0.0, <= 2.0.2 cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*
apache spark >= 2.1.0, <= 2.1.3 cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*
apache spark >= 2.2.0, <= 2.2.2 cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*
apache spark >= 2.3.0, <= 2.3.1 cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:*

References for CVE-2018-11760

cvelogic Threat Intelligence