Vulnerability Monitor

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CVE-2022-41917


OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. OpenSearch allows users to specify a local file when defining text analyzers to process data for text analysis. An issue in the implementation of this feature allows certain specially crafted queries to return a response containing the first line of text from arbitrary files. The list of potentially impacted files is limited to text files with read permissions allowed in the Java Security Manager policy configuration. OpenSearch version 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to upgrade. There are no known workarounds for this issue.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 4.3, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts limited data confidentiality, for affected systems. Impacting 1 product from amazon organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2022, 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

2022-11-16T00:15:11.283

Last Modified

2024-11-21T07:24:03.857

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 4.3 (MEDIUM)

Weaknesses
  • Type: Secondary
    CWE-200
  • Type: Primary
    CWE-755

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application amazon opensearch < 1.3.7 Yes
Application amazon opensearch < 2.4.0 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.