CVE-2026-80298 in Sef
Summary
by MITRE • 10/02/2026
Improper neutralization of special elements used in an SQL command ('SQL injection') vulnerability in HAVELSAN Inc. Sef - AI Chatbot Platform allows SQL Injection.
This issue affects Sef - AI Chatbot Platform: before 2.1.
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Analysis
by VulDB Data Team • 10/02/2026
The identified vulnerability represents a classic instance of improper neutralization of special elements used within an SQL command, commonly referred to as SQL injection. This flaw resides in the HAVELSAN Inc. Sef AI Chatbot Platform and specifically impacts versions prior to release 2.1. The core technical deficiency lies in the application's failure to properly sanitize or validate user-supplied input before incorporating it into backend database queries. When a chatbot platform processes natural language inputs from users, these inputs are often translated into structured query commands for data retrieval or manipulation. In this vulnerable implementation, the system fails to distinguish between executable code and intended data within the SQL statement structure. Consequently, an attacker can inject malicious SQL syntax directly through the chat interface, exploiting the lack of parameterization or rigorous input filtering mechanisms that should be present in secure software development practices.
From a technical perspective, this vulnerability allows for unauthorized access to sensitive information stored within the platform's underlying database. By crafting specific payloads containing SQL operators such as UNION SELECT statements or boolean-based blind injection techniques, an attacker can manipulate the logic of the query. This manipulation enables the extraction of data that is not intended for public view, including user credentials, personal identifiable information, conversation logs, and potentially administrative configuration details. The severity of this issue is compounded by the nature of AI chatbot platforms, which often serve as primary interfaces for customer interaction or internal enterprise communication. If an attacker successfully exploits this flaw, they can bypass authentication controls entirely if the injection targets authentication tables, leading to a complete compromise of user accounts and potentially escalating privileges within the application environment.
The operational impact extends beyond simple data exfiltration. Successful exploitation could allow for the modification or deletion of database records, disrupting service availability and integrity. In an enterprise context utilizing Sef AI Chatbot Platform, this could result in significant reputational damage due to public disclosure of leaked sensitive data. Furthermore, depending on the specific database engine configuration, certain SQL injection variants might permit command execution at the operating system level if the database software allows for extended stored procedures or file access functions. This transforms a web application vulnerability into a potential server-level compromise, increasing the blast radius significantly and requiring incident response teams to assess not just data loss but also potential persistence mechanisms installed by an attacker within the infrastructure.
This flaw aligns directly with CWE-89, which categorizes improper neutralization of special elements used in an SQL command as one of the most critical software weaknesses. It is frequently associated with OWASP Top 10 vulnerabilities related to injection flaws. In terms of adversary tactics and techniques, this vulnerability maps to ATT&CK technique T1190, Exploit Public-Facing Application, where attackers leverage known or unknown vulnerabilities in internet-facing services to gain initial access. The lack of input validation also reflects a failure in secure coding principles outlined by standards such as OWASP Secure Coding Practices, specifically regarding the requirement for parameterized queries and strict type checking.
Mitigation strategies must focus on immediate remediation through software updates followed by architectural improvements. The primary corrective action is to upgrade the HAVELSAN Inc. Sef AI Chatbot Platform to version 2.1 or later, where this specific input handling flaw has been addressed by the vendor. For environments where an immediate patch is not feasible, temporary mitigations should include implementing a Web Application Firewall with rules specifically tuned to detect and block SQL injection patterns in chat interface inputs. Additionally, developers must enforce strict parameterized queries for all database interactions involving user-supplied data, ensuring that input is treated strictly as data rather than executable code. Regular security assessments, including static application security testing and dynamic penetration testing focused on injection vectors, are essential to prevent recurrence of such vulnerabilities in future development cycles.