CVE-2018-1334 describes a vulnerability in Apache Spark versions 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, specifically impacting PySpark and SparkR. This flaw allows a local attacker to impersonate the user running the Spark application. Rated Medium with a CVSS score of 4.7, the vulnerability has a local attack vector and high attack complexity, potentially leading to high integrity impacts without confidentiality or availability concerns. There is no evidence of active exploitation, public exploit code (Metasploit, Nuclei, ExploitDB), or significant community discussion or media coverage surrounding this CVE.
| Vendor | Product | Version(s) | CPE |
|---|---|---|---|
<= 2.1.2CPE matchmatch criteria | cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:* | ||
>= 2.2.0, <= 2.2.1CPE matchmatch criteria | cpe:2.3:a:apache:spark:*:*:*:*:*:*:*:* | ||
2.3.0CPE matchmatch criteria | cpe:2.3:a:apache:spark:2.3.0:*:*:*:*:*:*:* |
CVSS version used by this source: 3.0
CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N
The average CVE in this peer group has 0.0 Twitter, 0.1 Reddit, 0.1 Bluesky, 0.0 Mastodon, and 0.1 GitHub mentions.
No media coverage found for this CVE.
The average CVE in this peer group has 0.4 InfoSec Media, 0.0 Vendor Blog, and 0.0 Security Researcher mentions.