Vulnerability Monitor

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CVE-2023-23613


OpenSearch is an open source distributed and RESTful search engine. In affected versions there is an issue in the implementation of field-level security (FLS) and field masking where rules written to explicitly exclude fields are not correctly applied for certain queries that rely on their auto-generated .keyword fields. This issue is only present for authenticated users with read access to the indexes containing the restricted fields. This may expose data which may otherwise not be accessible to the user. OpenSearch 1.0.0-1.3.7 and 2.0.0-2.4.1 are affected. Users are advised to upgrade to OpenSearch 1.3.8 or 2.5.0. Users unable to upgrade may write explicit exclusion rules as a workaround. Policies authored in this way are not subject to this issue.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.7, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from amazon organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2023, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2023-01-26T21:18:14.900

Last Modified

2024-11-21T07:46:32.080

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.7 (MEDIUM)

Weaknesses
  • Type: Secondary
    CWE-200
  • Type: Primary
    CWE-200

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application amazon opensearch < 1.3.8 Yes
Application amazon opensearch < 2.5.0 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For amazon's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.