CVE-2026-2613 in API Control Plane
Summary
by MITRE • 11/02/2026
The Admin REST API accepts user-supplied input without adequately sanitizing it, allowing it to be included in the structure of SQL statements.
A user with administrator privileges can exploit this by influencing the structure of executed SQL statements, enabling blind SQL injection to infer database information and potentially impact the availability of the database service.
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Analysis
by VulDB Data Team • 11/02/2026
The vulnerability described constitutes a classic Blind SQL Injection flaw within an administrative REST API endpoint, representing a critical security deficiency in input validation mechanisms. This issue arises because the application fails to properly sanitize or parameterize user-supplied data before incorporating it into dynamic SQL queries executed against the backend database. In this specific context, the attacker must possess administrator privileges to trigger the vulnerable code path, which may initially seem like a mitigating factor due to the high privilege requirement; however, in many enterprise environments, administrative accounts are frequently targeted through credential theft, phishing, or insider threats, thereby significantly lowering the barrier for exploitation compared to unauthenticated attacks. The core technical flaw lies in the direct concatenation of unsanitized input into SQL statement structures, allowing an attacker to manipulate the logic and syntax of database commands rather than merely injecting data values.
From a technical perspective, this vulnerability aligns with CWE-89, which covers Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. The specific manifestation here is classified under Blind SQL Injection because the application does not return direct error messages or query results to the user interface that would allow for immediate data extraction via standard union-based techniques. Instead, the attacker must rely on inferential methods, such as boolean-based blind injection or time-based blind injection, to deduce information about the database schema and contents. By crafting specific payloads that alter conditional logic within SQL statements, an adversary can determine whether a query returns true or false based on application behavior, response times, or subtle changes in HTTP status codes, effectively allowing them to map out the entire database structure piece by piece without ever seeing the raw data directly in the API response.
The operational impact of this vulnerability is severe and multifaceted, extending beyond simple data exfiltration to include potential denial of service conditions. An attacker with administrative access can use blind SQL injection techniques to extract sensitive information such as usernames, hashed passwords, configuration details, or proprietary business logic stored within the database. Furthermore, by executing destructive commands like DROP TABLE or TRUNCATE through manipulated queries, an adversary can compromise data integrity and availability. The mention of impacting the availability of the database service suggests that poorly crafted injection payloads could cause resource exhaustion, lock tables indefinitely, or trigger errors that disrupt normal application functionality, leading to significant downtime and operational disruption for the organization relying on this administrative interface.
In terms of threat modeling and industry frameworks, this vulnerability maps directly to MITRE ATT&CK technique T1059.004, which refers to SQL Injection under Command and Scripting Interpreter abuse. The attack vector involves leveraging a programming language or interpreter (in this case, the backend application processing REST requests) to execute unauthorized commands against the database engine. This aligns with the initial access and persistence phases of an attack lifecycle if the extracted credentials are used for further lateral movement within the network. Additionally, it relates to CWE-209, which involves the generation of error messages that contain too much information, although in blind injection scenarios, the lack of explicit errors is precisely what forces the attacker into more complex inferential techniques rather than simple exploitation via visible stack traces.
To mitigate this vulnerability, immediate remediation efforts should focus on implementing strict input validation and adopting parameterized queries or prepared statements for all database interactions involving user-supplied data. This ensures that SQL logic remains separate from data inputs, rendering injection attempts ineffective regardless of the content provided by the attacker. Furthermore, since the flaw exists in an administrative API, it is crucial to enforce robust authentication mechanisms such as multi-factor authentication and strict role-based access control to limit who can interact with these endpoints. Network-level protections like Web Application Firewalls should be configured to detect common SQL injection patterns, although they serve only as a secondary defense layer rather than a primary solution. Regular security testing, including automated static analysis and manual penetration testing focused on API endpoints, is essential to identify similar flaws in other parts of the application before they can be exploited by malicious actors seeking administrative access or database compromise.