CVE-2025-71428 in Jivejdon
Summary
by MITRE • 10/09/2026
Jivejdon through 5.0 contains a sql injection vulnerability in AccountDaoSql.getAccountByNameLike() that allows authenticated administrators to inject SQL via the username parameter. Attackers with the Admin role can submit crafted input to /admin/user/userListAction to read database contents, including other accounts' password hashes.
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Analysis
by VulDB Data Team • 10/09/2026
The identified security flaw resides within Jivejdon version 5.0 and specifically targets the AccountDaoSql.getAccountByNameLike method. This component is responsible for handling user account lookups based on name patterns, a common functionality in web applications that require search or filtering capabilities for administrative purposes. The vulnerability manifests as an SQL injection defect where input validation and sanitization mechanisms are insufficiently implemented to prevent malicious code execution within database queries. Because the affected endpoint requires authentication with administrator privileges, the attack surface is restricted to users who have already bypassed initial access controls by obtaining valid admin credentials through social engineering, credential stuffing, or other compromise vectors.
The technical nature of this vulnerability involves improper neutralization of special elements used in SQL commands. When an authenticated administrator submits a crafted username parameter via the /admin/user/userListAction endpoint, the application fails to properly escape or parameterize user-supplied data before incorporating it into dynamic SQL statements. This allows attackers to inject arbitrary SQL syntax that alters the intended logic of the database query. By manipulating the input string with specific characters and payloads, an attacker can extract sensitive information from the underlying relational database management system. The primary consequence is the unauthorized disclosure of confidential data stored within the application's database schema.
The operational impact of this vulnerability is severe due to the high privilege level required for exploitation. An adversary who successfully exploits this flaw gains read access to critical database contents, most notably password hashes associated with all user accounts in the system. The exposure of these cryptographic digests enables offline brute-force or rainbow table attacks against the harvested credentials. If weak hashing algorithms such as MD5 or SHA1 are employed without adequate salting, attackers can reverse many of these hashes to obtain plaintext passwords. This leads to a cascading failure of security controls where compromised user accounts can be used for further lateral movement within the network, impersonation of legitimate users, and potential escalation to higher privilege levels if additional vulnerabilities exist in related modules.
This incident aligns with Common Weakness Enumeration identifier CWE-89, which classifies improper neutralization of special elements used in an SQL command as a critical input validation failure. From a tactical perspective, the exploitation technique corresponds to ATT&CK techniques involving database credential dumping and unauthorized data access via application layer attacks. The reliance on administrative privileges for exploitation highlights the importance of strict role-based access control and principle of least privilege implementation within enterprise software architectures.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. Developers should immediately refactor the AccountDaoSql.getAccountByNameLike method to utilize parameterized queries or prepared statements, ensuring that user input is treated strictly as data rather than executable code. This approach effectively neutralizes SQL injection risks by separating SQL logic from data inputs at the database driver level. Additionally, implementing robust input validation routines that enforce strict type checking and length constraints on username fields can provide an additional layer of defense against malformed or malicious payloads.
Beyond code-level fixes, organizations should deploy Web Application Firewalls configured with rulesets capable of detecting and blocking common SQL injection patterns in HTTP requests targeting administrative endpoints. Regular security assessments including static application security testing and dynamic vulnerability scanning are essential to identify similar flaws across the entire codebase before they can be exploited in production environments. Furthermore, ensuring that password storage utilizes modern, computationally expensive hashing algorithms such as bcrypt or Argon2 with unique salts per user significantly reduces the risk associated with hash exposure even if an injection flaw is successfully leveraged by attackers.