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CVE-2022-24827: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in yahoo elide

Medium
Published: Mon Apr 11 2022 (04/11/2022, 20:13:40 UTC)
Source: CVE
Vendor/Project: yahoo
Product: elide

Description

Elide is a Java library that lets you stand up a GraphQL/JSON-API web service with minimal effort. When leveraging the following together: Elide Aggregation Data Store for Analytic Queries, Parameterized Columns (A column that requires a client provided parameter), and a parameterized column of type TEXT. There is the potential for a hacker to provide a carefully crafted query that would bypass server side authorization filters through SQL injection. A recent patch to Elide 6.1.2 allowed the '-' character to be included in parameterized TEXT columns. This character can be interpreted as SQL comments ('--') and allow the attacker to remove the WHERE clause from the generated query and bypass authorization filters. A fix is provided in Elide 6.1.4. The vulnerability only exists for parameterized columns of type TEXT and only for analytic queries (CRUD is not impacted). Workarounds include leveraging a different type of parameterized column (TIME, MONEY, etc) or not leveraging parameterized columns.

AI-Powered Analysis

AILast updated: 06/23/2025, 11:19:38 UTC

Technical Analysis

CVE-2022-24827 is a medium-severity SQL Injection vulnerability identified in the Yahoo Elide Java library, specifically affecting version 6.1.3. Elide is designed to simplify the deployment of GraphQL/JSON-API web services, and this vulnerability arises when using the Elide Aggregation Data Store for analytic queries in combination with parameterized columns of type TEXT. The root cause is improper neutralization of special characters in SQL commands (CWE-89). A recent update in Elide 6.1.2 introduced support for the '-' character in parameterized TEXT columns, which can be interpreted as the start of an SQL comment sequence ('--'). This allows an attacker to craft malicious queries that effectively comment out the WHERE clause in generated SQL statements, thereby bypassing server-side authorization filters. This bypass can lead to unauthorized data access during analytic queries, although CRUD operations are not impacted. The vulnerability is limited to parameterized TEXT columns in analytic queries, and does not affect other parameter types such as TIME or MONEY. A fix was released in Elide 6.1.4 to address this issue. Workarounds include avoiding the use of parameterized TEXT columns or switching to other parameter types to mitigate the risk until patching is possible. No known exploits have been reported in the wild to date.

Potential Impact

For European organizations, this vulnerability poses a risk of unauthorized data exposure through analytic queries if they use Elide version 6.1.3 with parameterized TEXT columns. The ability to bypass authorization filters could lead to leakage of sensitive or regulated data, potentially violating GDPR and other data protection regulations. The impact is primarily on confidentiality and integrity of data, as attackers could access or manipulate analytic query results without proper permissions. Availability is less likely to be affected since CRUD operations are not vulnerable. Organizations relying on Elide for analytics in sectors such as finance, healthcare, or government could face significant reputational and compliance risks if exploited. The absence of known exploits reduces immediate risk, but the ease of exploitation via crafted queries and the widespread use of Elide in Java-based web services means that the threat should be taken seriously.

Mitigation Recommendations

1. Immediate upgrade to Elide version 6.1.4 or later, which contains the official fix for this vulnerability. 2. Until patching is feasible, avoid using parameterized columns of type TEXT in analytic queries; instead, use alternative parameter types such as TIME or MONEY that are not affected. 3. Implement strict input validation and sanitization on all client-supplied parameters, especially those used in analytic queries, to prevent injection of SQL comment sequences. 4. Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious query patterns that include SQL comment characters or attempts to bypass authorization filters. 5. Conduct thorough code reviews and security testing focused on analytic query components to identify any other potential injection points. 6. Monitor logs for unusual query patterns or authorization bypass attempts related to Elide analytic queries. 7. Educate developers and administrators about the specific risks associated with parameterized TEXT columns in Elide to prevent misconfiguration.

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Technical Details

Data Version
5.1
Assigner Short Name
GitHub_M
Date Reserved
2022-02-10T00:00:00.000Z
Cisa Enriched
true

Threat ID: 682d9843c4522896dcbf2c35

Added to database: 5/21/2025, 9:09:23 AM

Last enriched: 6/23/2025, 11:19:38 AM

Last updated: 8/15/2025, 10:07:09 PM

Views: 15

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