CVE-2023-5787 in Score Query System
Summary
by MITRE • 10/26/2023
A vulnerability was found in Shaanxi Chanming Education Technology Score Query System 5.0. It has been rated as critical. This issue affects some unknown processing. The manipulation of the argument stuIdCard leads to sql injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used. The identifier VDB-243593 was assigned to this vulnerability.
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Analysis
by VulDB Data Team • 11/18/2023
The CVE-2023-5787 vulnerability represents a critical sql injection flaw within the Shaanxi Chanming Education Technology Score Query System version 5.0, a widely deployed educational database application in China's academic sector. This vulnerability resides in the system's student identification card processing functionality, where the stuIdCard parameter serves as the primary attack vector for malicious sql injection attempts. The vulnerability's critical rating stems from its remote exploitability and the public disclosure of working exploit code, making it immediately actionable by threat actors without requiring advanced technical skills. The system's architecture appears to process student identification card numbers directly within sql queries without adequate input sanitization or parameterized query construction, creating a direct pathway for attackers to manipulate database operations through crafted input values.
The technical exploitation of this vulnerability occurs when an attacker submits a maliciously crafted stuIdCard value that contains sql payload sequences designed to bypass input validation mechanisms. This flaw directly maps to CWE-89, which defines sql injection as the insertion of malicious sql fragments into input data that is subsequently processed by a sql interpreter. The attack vector operates through remote network access, allowing adversaries to leverage the vulnerability from external network positions without requiring physical access to the system infrastructure. The system's failure to implement proper input validation and parameterized queries creates an environment where sql commands can be executed with the privileges of the database user account, potentially enabling full database compromise including data exfiltration, unauthorized data modification, or even system command execution depending on the underlying database configuration.
The operational impact of this vulnerability extends beyond simple data theft, as it represents a fundamental security failure in an educational database system that handles sensitive student information. The disclosure of exploit code through VDB-243593 indicates that threat actors are actively exploiting this vulnerability, creating an immediate risk to student privacy and institutional data integrity. Educational institutions relying on this system face potential exposure of personal identification information, academic records, and other sensitive data that could be used for identity theft, academic fraud, or targeted social engineering attacks. The vulnerability's exploitation capability also poses risks to broader institutional security infrastructure, as compromised database access could provide attackers with insights into network architecture, user account information, and potentially lead to lateral movement within educational network environments.
Mitigation strategies for CVE-2023-5787 must focus on immediate input validation and parameterized query implementation to prevent sql injection exploitation. Organizations should implement comprehensive input sanitization routines that validate stuIdCard parameter formats against established patterns and reject malformed inputs before database processing occurs. The system should be updated to utilize parameterized queries or prepared statements for all database interactions, eliminating the possibility of sql command injection through user-supplied parameters. Network-level protections including web application firewalls and intrusion detection systems should be deployed to monitor for exploitation attempts and block malicious traffic patterns associated with sql injection attacks. Additionally, organizations should conduct immediate vulnerability assessments of similar systems within their infrastructure to identify potential analogous flaws, while implementing regular security auditing practices to prevent future sql injection vulnerabilities. The remediation process should also include comprehensive staff training on secure coding practices and proper input validation techniques to ensure long-term prevention of similar vulnerabilities in future system development cycles.