CVE-2026-79303 in Kaiten
Summary
by MITRE • 09/15/2026
kaiten from 57.192.20 to before 57.214.26 is vulnerable to SQL Injection. Dynamic SQL statements are generated without the required data validation and without using parameterized statements or stored procedures.
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Analysis
by VulDB Data Team • 09/15/2026
The vulnerability identified in Kaiten versions ranging from 57.192.20 up to, but not including, version 57.214.26 represents a critical security flaw rooted in the improper handling of user-supplied input within database queries. This issue is classified as SQL Injection, specifically falling under Common Weakness Enumeration identifier CWE-89, which describes Improper Neutralization of Special Elements used in an SQL Command. The core technical deficiency lies in the application's architecture for generating dynamic SQL statements. Instead of employing secure coding practices such as parameterized queries or prepared statements, the software constructs SQL commands by directly concatenating user input into the query string. This approach fails to perform necessary data validation and does not distinguish between executable code and data inputs, thereby allowing an attacker to manipulate the structure of the intended database command.
From a technical perspective, this flaw enables malicious actors to interfere with the queries that an application makes to its underlying database. By injecting carefully crafted SQL statements through input fields or URL parameters, an attacker can bypass authentication mechanisms, access restricted data, modify existing records, or even execute administrative operations on the database server depending on the privileges assigned to the database account used by the application. The absence of parameterized statements means that the database engine cannot differentiate between code and data, treating injected payloads as part of the SQL logic itself. This lack of separation is a fundamental violation of secure software development principles and exposes the integrity and confidentiality of the stored information to significant risk.
The operational impact of this vulnerability extends beyond simple data theft. Successful exploitation can lead to unauthorized access to sensitive business intelligence, customer personal identifiable information, or proprietary project management data managed by Kaiten. In severe cases, if the database service account has elevated privileges, an attacker might leverage tools like xp_cmdshell on Microsoft SQL Server or similar extensions in other database systems to execute operating system commands. This could result in a complete compromise of the backend server hosting the application, leading to further lateral movement within the network infrastructure and potential denial-of-service conditions through destructive data manipulation such as dropping tables or corrupting records.
This vulnerability aligns with several tactics defined in the MITRE ATT&CK framework, particularly those related to Initial Access and Collection. Attackers may utilize SQL injection techniques categorized under T1190 Exploit Public-Facing Application for initial entry points. Once inside, actions such as extracting data correspond to Data from Local System or Data Staged behaviors found within the Collection tactic. The lack of input validation also reflects weaknesses in Input Validation processes often associated with CWE-20 Improper Input Validation, which serves as a precursor condition allowing more specific injection flaws like SQL Injection to manifest effectively against unpatched systems.
To mitigate this risk, organizations running affected versions of Kaiten must prioritize immediate patching by upgrading to version 57.214.26 or later where the issue has been resolved. In addition to updating the software, developers and system administrators should review any custom integrations or plugins that might interact with the database using similar unsafe patterns. Implementing a Web Application Firewall can provide an additional layer of defense by filtering out malicious SQL payloads before they reach the application logic, although this is not a substitute for fixing the root cause in the codebase. Furthermore, adopting secure coding standards that mandate the use of parameterized queries and stored procedures will prevent similar vulnerabilities from being introduced in future development cycles, ensuring long-term resilience against injection-based attacks.