CVE-2026-63713 in TMS7
Summary
by MITRE • 09/30/2026
The "search" parameter in the view audit logs feature within the utilities section is susceptible to a time-based blind SQL injection vulnerability.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 09/30/2026
A critical security flaw has been identified within the utility module of the application, specifically affecting the search functionality associated with viewing audit logs. This component processes user-supplied input through an SQL query without adequate sanitization or parameterization, allowing for a time-based blind Structured Query Language injection attack. The vulnerability stems from the direct concatenation of unvalidated data into database commands, creating a pathway for malicious actors to manipulate backend logic remotely.
The technical nature of this flaw relies on the application's failure to properly escape special characters within the search parameter. By injecting specific SQL payloads that trigger conditional delays in database execution time, an attacker can infer information about the underlying database structure and contents bit by bit. This technique is particularly insidious because it does not rely on visible error messages or direct data output, making detection significantly more difficult for standard intrusion detection systems compared to traditional injection vectors. The blind aspect means that the success of the exploitation is determined solely by observing response time variations rather than explicit feedback from the application interface.
From an operational perspective, this vulnerability poses a severe risk to data integrity and confidentiality. An attacker with network access can potentially extract sensitive information stored in the audit logs or other database tables accessible by the compromised user account. This could include personally identifiable information, authentication credentials, configuration details, or proprietary business logic embedded within the application's data layer. The ability to exfiltrate data silently undermines the fundamental purpose of audit logging, which is to provide a reliable record for forensic analysis and compliance monitoring. If an attacker can manipulate these logs via injection techniques, they may also attempt to alter records to cover their tracks, thereby compromising the integrity of security auditing processes.
This vulnerability aligns with Common Weakness Enumeration identifier CWE-89, which classifies improper neutralization of special elements used in SQL commands as a category of Injection flaws. Furthermore, it maps directly to the MITRE ATT&CK framework technique T1059.004, representing Command Line Interface execution via SQL injection, and potentially T1119 for Automated Collection if data exfiltration is successfully achieved. The exploitation vector typically falls under Remote Code Execution or Data Exfiltration depending on the specific payload used and the privileges of the database account associated with the web application process.
To mitigate this risk, immediate remediation efforts should focus on implementing parameterized queries or prepared statements for all database interactions involving user input. This approach ensures that data is treated strictly as values rather than executable code, effectively neutralizing injection attempts regardless of their content. Additionally, deploying a Web Application Firewall with rules specifically tuned to detect SQL injection patterns can provide an additional layer of defense in depth. Input validation should also be enforced using strict allow-listing strategies for the search parameter, ensuring that only expected character sets and formats are accepted. Regular security assessments and static code analysis tools configured to flag unsafe database query constructions will help prevent similar vulnerabilities from being introduced during future development cycles.