Description

Improper neutralization of special elements used in an sql command ('sql injection') in Azure SQL Database allows an authorized attacker to elevate privileges over a network.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "9.9",
  "pubDate": "2026-08-20T22:17:57.020Z",
  "pubdate": "2026-08-20T22:17:57.020Z",
  "executiveSummary": "An improper neutralization of special elements used in an SQL command, commonly classified as SQL Injection, has been identified within Azure SQL Database. This security defect enables an authorized attacker to execute arbitrary database queries, manipulate underlying data structures, and ultimately elevate privileges over a network vector. The presence of this vulnerability poses severe risk implications for enterprise environments utilizing the affected cloud database service, as unauthorized privilege escalation compromises the confidentiality, integrity, and availability of sensitive database assets and tenant isolation boundaries. To successfully exploit this vulnerability, the adversary must possess some level of authorized access to the network and database environment, allowing them to interact with the vulnerable SQL command processing components. The exploitation does not inherently require complex physical access or client-side execution; instead, it relies on submitting maliciously crafted input containing special SQL elements that bypass proper input sanitization and parameterization routines within the affected database management logic. Consequently, malicious payloads injected through vulnerable interfaces are interpreted directly by the query execution engine, facilitating unauthorized database command execution and privilege boundary violations.",
  "technicalDetails": "The vulnerability stems from insufficient input validation and improper sanitization of special elements within SQL commands processed by Azure SQL Database. The root cause lies in the application or database engine handling user-supplied data insecurely, often concatenating strings directly into dynamic SQL statements rather than enforcing strict parameterization or utilizing prepared statements. This failure allows specialized SQL syntax and control characters to alter the intended syntax and logic of the executing query.\nThe attack flow begins when an authorized attacker interacts with a vulnerable database interface exposed over the network. The adversary crafts a malicious payload containing SQL command control characters, query terminators, or subquery structures designed to manipulate the original execution context. When this unvalidated input is processed by the vulnerable component within Azure SQL Database, the parsing engine fails to properly neutralize the special elements, treating the injected data as executable SQL code rather than literal string input.\nAuthentication and privilege requirements involve an attacker who already possesses authorized access, meaning the adversary operates with baseline authenticated privileges within the network or database ecosystem. However, by leveraging the SQL injection flaw, the attacker is able to transcend these initial boundaries. The payload behavior involves executing unauthorized administrative commands, querying system catalogs, or manipulating role memberships, leading directly to post-exploitation impact such as unauthorized privilege escalation to higher-level database roles (e.g., db_owner or sysadmin equivalents depending on context).\nBecause Azure SQL Database operates within a networked cloud architecture, exposure is inherent to the service endpoints accessible by clients. The vulnerability allows the injected command to execute with the security context of the database process or the execution context of the vulnerable query module. If the module executes with elevated permissions, the injected commands inherit those privileges, enabling the attacker to perform privileged operations that should otherwise be restricted based on their initial authorization level. Mitigation requires rigorous remediation focused on query parameterization, robust input validation, and adherence to secure coding practices for all dynamic SQL operations."
}