Resource exhaustion in Elastic Cloud Enterprise

CVE-2023-31418

An issue has been identified with how Elasticsearch handled incoming requests on the HTTP layer. An unauthenticated user could force an Elasticsearch node to exit with an OutOfMemory error by sending a moderate number of malformed HTTP requests. The issue was identified by Elastic Engineering and we have no indication that the issue is known or that it is being exploited in the wild.

Vulnerability class: DoS (Denial of Service)

Published · last modified .

CVSS v3 metric

CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.

EPSS exploit prediction

EPSS: 0.021 (80.5th percentile), scored .

Low probability of exploitation in the next 30 days, but still tracked. 80th percentile — 80.5% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2023-31418: rose from 0.012 to 0.021.

EPSS over last 30 days · oldest: 0.012 · newest: 0.021 · change: +0.008

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2023-31418?
CVE-2023-31418 is a high-severity vulnerability in Elastic Cloud Enterprise, classified under Uncontrolled Resource Consumption. CVSS score: 7.5/10. Published 2023-10-26.
How severe is CVE-2023-31418?
High severity. CVSS v3 base score is 7.5 out of 10.
Is CVE-2023-31418 known to be exploited?
2 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.