CVE-2026-118871 in ElasticNet RNIA NGI
Summary
by MITRE • 11/02/2026
SQL injection vulnerability classified as an internal threat level.Attackers can steal database information via SQL injection while logged in.
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Analysis
by VulDB Data Team • 11/02/2026
The identified security flaw represents a classic instance of Structured Query Language Injection, categorized under the CWE-89 standard for improper neutralization of special elements used in an SQL command. This vulnerability allows an authenticated user to manipulate backend database queries by injecting malicious code through input fields or parameters that are not adequately sanitized before being processed by the application logic. Unlike external threats that often target unauthenticated entry points, this specific classification as an internal threat level indicates that the exploitation requires valid credentials or a legitimate session token, suggesting that the vulnerability resides within functionality accessible only to registered users such as profile updates, search functions, or administrative interfaces.
From a technical perspective, the flaw stems from the application's failure to properly distinguish between code and data when constructing SQL statements. When user-supplied input is concatenated directly into query strings without using parameterized queries or prepared statements, an attacker can terminate the intended command sequence and append their own SQL instructions. This manipulation enables the extraction of sensitive database contents, modification of records, or potentially executing administrative operations on the underlying database server depending on the privileges associated with the application's database connection account. The ability to steal information while logged in implies that session management controls are insufficient to prevent privilege escalation or data exfiltration through this injection vector.
The operational impact of this vulnerability is severe as it compromises the confidentiality and integrity of the organization's data assets. Attackers can bypass access control mechanisms designed for authenticated users, leading to unauthorized disclosure of personally identifiable information, financial records, or proprietary business intelligence. Furthermore, if the database service account has elevated privileges, such as sysadmin rights in Microsoft SQL Server or superuser status in PostgreSQL, the attacker could potentially execute operating system commands, modify application configurations, or disrupt service availability by dropping tables or corrupting data structures. This scenario aligns with MITRE ATT&CK techniques related to Data from Local System and Command and Control via Application Layer Protocol, as the attacker leverages legitimate access channels to exfiltrate data without triggering typical external intrusion detection alerts.
To mitigate this risk, developers must implement strict input validation and output encoding strategies across all user-facing endpoints. The most effective defense is the adoption of parameterized queries or prepared statements for all database interactions, which ensures that user input is treated strictly as data rather than executable code. Additionally, implementing least-privilege principles for application database accounts limits the potential damage if an injection succeeds by restricting permissions to only those necessary for normal operation. Deploying a Web Application Firewall can provide an additional layer of defense by detecting and blocking known SQL injection patterns in HTTP requests. Regular security testing including dynamic analysis and code reviews focused on data access layers is essential to identify and remediate such vulnerabilities before they can be exploited in production environments.