Skip to content
Fencer Vulns
medium 5.7

CVE-2023-23933 json

Issue in Anomaly Detection with document and field level rules in numerical feature aggregations

published 2023-02-03 3 y ago modified 2026-06-17 4 mo ago also EUVD-2023-28005

cvss
5.7
version 3.0, CNA
cisa kev
Not listed
not in CISA's catalog
epss
0.5%
EPSS 0.5% chance of exploitation in 30 days, percentile 43%
public exploits
0
none known

Summary

OpenSearch Anomaly Detection identifies atypical data and receives automatic notifications. There is an issue with the application of document and field level restrictions in the Anomaly Detection plugin, where users with the Anomaly Detector role can read aggregated numerical data (e.g. averages, sums) of fields that are otherwise restricted to them. This issue only affects authenticated users who were previously granted read access to the indexes containing the restricted fields. This issue has been patched in versions 1.3.8 and 2.6.0. There are no known workarounds for this issue.

Patch / fix

  • amazon opensearch 1.3.8, 2.6.0

CISA SSVC

Exploitation
none
Automatable
no
Technical impact
partial
Assessed
19 mo ago

Exploit prediction

0.51% chance of exploitation in the next 30 days, higher than 43% of all scored CVEs (FIRST EPSS, 2026-11-08).

CVSS scores

assigned by version score vector
CNA 3.0 5.7 CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N
NVD 3.1 4.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Affected products

  • opensearch-project anomaly-detection

Classification

Weakness

References

Sources

Fencer Vulns 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.