THREATPORT/VULNERABILITY/CVE-2018-17190
CRITICAL SEVERITY

CVE-2018-17190

Spark vulnerability

CVSS
9.8
EPSS
8.7%
EPSS pct
95th
Exploited
No known
In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected.
Affected vendor
Apache
Affected product
Spark
CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Published
2018-11-19

Risk analysis

Based on its CVSS vector, this vulnerability is exploitable over the network, low attack complexity, requiring no privileges, no user interaction. Successful exploitation leads to high impact to confidentiality, high impact to integrity, high impact to availability.

Its EPSS score of 8.7% reflects a lower probability of exploitation activity in the wild over the next 30 days, placing it above 95% of all scored CVEs.

Check your external exposure to CVE-2018-17190

  • Confirm whether Apache Spark is running on any internet-facing host or subdomain.
  • Match discovered service fingerprints against the version affected by CVE-2018-17190.
  • Prioritise remediation if the asset is public, business-critical, or near authentication/payment flows.

How ThreatPort helps with CVE-2018-17190

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