KevinLAB BEMS SQL Injection Scanner

KevinLAB BEMS is a building energy management system widely used in commercial and industrial facilities to monitor and manage energy consumption and efficiency. Organizations leverage KevinLAB BEMS to reduce their energy costs and improve operational efficiency by tracking real-time data and analytics. The software is designed to assist facility managers and engineers in optimizing the performance of electrical systems within their buildings. It finds applications in large office complexes, hospitals, and manufacturing facilities where energy regulation is crucial. BEMS interfaces with various sensors and controllers to gather data and can also integrate with other systems within the building ecosystem. As a comprehensive energy management tool, it plays a vital role in sustainable energy practices and regulatory compliance.

The SQL Injection vulnerability in KevinLAB BEMS 1.0 allows attackers to interfere with the queries that an application makes to its database. This type of vulnerability can be leveraged to gain unauthorized access to sensitive information, such as user credentials and personal information stored in the database. If exploited, it may result in unauthorized administrative operations and possible full system compromise. SQL Injection vulnerabilities typically arise when user inputs are improperly sanitized before being executed in SQL statements. The vulnerability can severely undermine the confidentiality, integrity, and availability of the affected systems. It requires urgent attention to prevent data breaches and maintain system security.

Technical details reveal that the vulnerable endpoint is located at /http/index.php where the input_id parameter is susceptible to SQL Injection. Through the manipulation of input_id, malicious users can inject and run arbitrary SQL commands. One possible payload involves injecting a concatenated subquery that returns the expected database output using SQL functions. The vulnerability is further enabled due to improper sanitation and inadequate defense against user input manipulation. Exploit success generally relies on crafting a payload that triggers a recognizable error or output response from the database.

When exploited, the SQL Injection vulnerability in KevinLAB BEMS 1.0 can have significant adverse effects. An unauthorized attacker could gain access to database contents, execute unauthorized commands, and even perform privilege escalation. This can lead to the exposure of confidential data, manipulation or loss of database integrity, and abuse of administrative privileges, severely affecting organizational operations. Additionally, system downtime and brand reputation damage may occur due to potential data breaches. The vulnerability may also serve as an entry point for further attacks on the network.

REFERENCES

• https://www.zeroscience.mk/en/vulnerabilities/ZSL-2021-5655.php
• https://www.exploit-db.com/exploits/50146
• https://packetstormsecurity.com/files/163572/