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CVE-2022-31115: CWE-502: Deserialization of Untrusted Data in opensearch-project opensearch-ruby

0
Medium
Published: Thu Jun 30 2022 (06/30/2022, 21:55:11 UTC)
Source: CVE
Vendor/Project: opensearch-project
Product: opensearch-ruby

Description

opensearch-ruby is a community-driven, open source fork of elasticsearch-ruby. In versions prior to 2.0.1 the ruby `YAML.load` function was used instead of `YAML.safe_load`. As a result opensearch-ruby 2.0.0 and prior can lead to unsafe deserialization using YAML.load if the response is of type YAML. An attacker must be in control of an opensearch server and convince the victim to connect to it in order to exploit this vulnerability. The problem has been patched in opensearch-ruby gem version 2.0.1. Users are advised to upgrade. There are no known workarounds for this issue.

AI-Powered Analysis

AILast updated: 06/22/2025, 00:23:15 UTC

Technical Analysis

CVE-2022-31115 is a medium-severity vulnerability affecting the opensearch-ruby client library, a community-driven open source fork of elasticsearch-ruby. The vulnerability arises from unsafe deserialization practices in versions prior to 2.0.1, where the Ruby YAML.load function was used instead of the safer YAML.safe_load. YAML.load can deserialize arbitrary objects, which can lead to remote code execution or other malicious behavior if untrusted YAML data is processed. In this case, if an attacker controls an OpenSearch server and can convince a victim using a vulnerable opensearch-ruby client to connect to it, the attacker can send malicious YAML responses that get deserialized unsafely. This could allow the attacker to execute arbitrary code or manipulate the victim's application environment. The vulnerability is specifically tied to responses of type YAML, and exploitation requires the attacker to be in a position to control the OpenSearch server endpoint the client connects to. The issue was patched in opensearch-ruby version 2.0.1 by replacing YAML.load with YAML.safe_load, which restricts deserialization to safe types only. No known workarounds exist other than upgrading the client library. There are no known exploits in the wild reported to date. The vulnerability is classified under CWE-502 (Deserialization of Untrusted Data), which is a common vector for remote code execution attacks when untrusted input is deserialized without proper validation or sandboxing.

Potential Impact

For European organizations using the opensearch-ruby client library versions prior to 2.0.1, this vulnerability poses a risk of remote code execution or arbitrary code injection if they connect to a malicious or compromised OpenSearch server. This could lead to data breaches, unauthorized access, or disruption of services relying on OpenSearch for search and analytics. The impact is particularly relevant for organizations that use OpenSearch in distributed environments or integrate third-party OpenSearch endpoints, as the attacker must control the server side to exploit the vulnerability. Confidentiality and integrity of data processed by the client could be compromised, and availability could be affected if the attacker executes destructive payloads. Since the vulnerability requires the attacker to control the OpenSearch server and convince the client to connect, the attack surface is somewhat limited but still significant for organizations relying on external or multi-tenant OpenSearch services. Given the widespread adoption of OpenSearch and Elasticsearch derivatives in sectors such as finance, telecommunications, and public services across Europe, exploitation could have serious operational and reputational consequences.

Mitigation Recommendations

The primary and only effective mitigation is to upgrade the opensearch-ruby client library to version 2.0.1 or later, where the unsafe YAML.load call has been replaced with YAML.safe_load. Organizations should audit their codebases and dependency manifests to identify usage of opensearch-ruby versions below 2.0.1 and perform immediate upgrades. Additionally, organizations should restrict connections to trusted OpenSearch servers only, employing network segmentation, firewall rules, and strict access controls to prevent clients from connecting to untrusted or external OpenSearch endpoints. Implementing monitoring and anomaly detection on OpenSearch client-server communications can help detect unusual or suspicious responses. For environments where upgrading immediately is not feasible, isolating vulnerable clients in restricted network zones and limiting their access to only verified OpenSearch servers can reduce risk. Finally, developers should review any custom YAML deserialization code to ensure safe loading practices are used consistently.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2022-05-18T00:00:00.000Z
Cisa Enriched
true

Threat ID: 682d9849c4522896dcbf6682

Added to database: 5/21/2025, 9:09:29 AM

Last enriched: 6/22/2025, 12:23:15 AM

Last updated: 2/7/2026, 4:58:33 AM

Views: 37

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