CVE-2026-25591 in new-api
Summary
by MITRE • 02/24/2026
New API is a large language mode (LLM) gateway and artificial intelligence (AI) asset management system. Prior to version 0.10.8-alpha.10, a SQL LIKE wildcard injection vulnerability in the `/api/token/search` endpoint allows authenticated users to cause denial of service through resource exhaustion by crafting malicious search patterns. The token search endpoint accepts user-supplied `keyword` and `token` parameters that are directly concatenated into SQL LIKE clauses without escaping wildcard characters (`%`, `_`). This allows attackers to inject patterns that trigger expensive database queries. Version 0.10.8-alpha.10 contains a patch.
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Analysis
by VulDB Data Team • 03/03/2026
The vulnerability identified as CVE-2026-25591 affects New API, a large language model gateway and artificial intelligence asset management system that serves as a central hub for AI operations and resource management. This system provides essential infrastructure for organizations utilizing artificial intelligence technologies and serves as a critical component in managing AI assets and access tokens. The vulnerability resides within the token search functionality of the system, specifically in the `/api/token/search` endpoint that handles authentication and authorization token management. Security researchers discovered that this endpoint processes user-supplied search parameters without proper input sanitization, creating a pathway for malicious exploitation that could significantly impact system availability and performance.
The technical flaw manifests as a SQL LIKE wildcard injection vulnerability that exploits the improper handling of user-supplied parameters in database queries. When authenticated users submit search requests through the `/api/token/search` endpoint, the system accepts `keyword` and `token` parameters that are directly concatenated into SQL LIKE clauses without escaping wildcard characters. This design flaw allows attackers to manipulate the search patterns by inserting special SQL LIKE wildcard characters such as `%` and `_` which can cause the database engine to perform inefficient and resource-intensive operations. The vulnerability specifically targets the database query construction process where user input flows directly into SQL statements without proper sanitization or escaping mechanisms, creating a direct path for malicious input to influence query execution plans.
The operational impact of this vulnerability extends beyond simple denial of service conditions to potentially cause significant resource exhaustion across the entire system infrastructure. Attackers can craft malicious search patterns that trigger expensive database queries, consuming excessive CPU cycles, memory resources, and I/O operations that can lead to complete system unresponsiveness. The resource exhaustion effects can cascade through the entire AI asset management system, potentially affecting other services and operations that depend on the same database infrastructure. This vulnerability particularly impacts environments where the system handles large volumes of tokens and where multiple concurrent search operations might occur, as the malicious queries can quickly consume available resources and prevent legitimate users from accessing the system. The vulnerability affects all versions prior to 0.10.8-alpha.10, indicating that organizations running older versions face immediate security risks.
Organizations utilizing New API systems should prioritize immediate patching to address this vulnerability, as version 0.10.8-alpha.10 contains the necessary security fixes. The patch likely implements proper input sanitization and SQL escaping mechanisms to prevent wildcard character injection into database queries. System administrators should conduct thorough testing of the patched version to ensure that legitimate search functionality remains intact while the vulnerability is eliminated. Additional defensive measures include implementing rate limiting on search endpoints, monitoring for unusual query patterns, and establishing automated alerts for resource consumption spikes. The vulnerability aligns with CWE-94, which describes improper control of generation of code, and relates to ATT&CK technique T1499.004 for resource exhaustion attacks. Organizations should also consider implementing database query monitoring to detect and prevent similar injection vulnerabilities in other system components. This vulnerability demonstrates the critical importance of input validation in database access points and highlights the need for comprehensive security testing of API endpoints that handle user-supplied data.