S4E

CVE-2021-37291 Scanner

CVE-2021-37291 Scanner - SQL Injection vulnerability in KevinLAB BEMS

Short Info


Level

Critical

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

10 seconds

Time Interval

24 days 20 hours

Scan only one

Domain, Subdomain, IPv4

Toolbox

-

KevinLAB BEMS is a Building Energy Management System utilized in commercial and industrial facilities to optimize energy usage, monitor systems, and improve energy efficiency. It is commonly deployed by energy managers and building operators to track real-time energy consumption across various systems such as heating, ventilation, air conditioning, and lighting. This system integrates with multiple components and devices within a facility, offering a comprehensive view of energy performance. Enterprises and larger buildings find this software beneficial in reducing energy waste and promoting sustainable energy practices. However, maintaining security is crucial to prevent unauthorized access and data manipulation. Ensuring that the software is protected against vulnerabilities is necessary for maintaining operational efficiency and data integrity.

A SQL Injection vulnerability in KevinLAB BEMS 1.0 allows attackers to manipulate SQL queries, leading to unauthorized data access, data modification, and administrative control abuse. This vulnerability arises when input parameters are not correctly sanitized. Attackers may inject malicious SQL commands through the application interface, exploiting the database's query execution capability. This kind of vulnerability can permit extensive unauthorized activities, including reading sensitive information and altering database records. Such vulnerabilities can compromise the system's stability and lead to significant security breaches. Secure coding practices and periodic security evaluations are essential to mitigate such risks.

The vulnerability is present in the 'input_id' POST parameter in /http/index.php, where input data is not correctly sanitized. This improper input validation allows attackers to inject manipulative SQL commands. Specifically, an exploitation attempt may involve the injection of specialized sequences to manipulate the database logic. For instance, by injecting commands like 'EXTRACTVALUE', attackers can retrieve unauthorized information, alter data, and compromise admin functionalities. The endpoint affected can lead to a full SQL statement execution, risking severe data exposure. Adequate sanitization and validation techniques are required to mitigate such injection flaws.

Exploiting this vulnerability could have severe implications, including unauthorized access to sensitive data, unauthorized modification of data, and potentially granting administrative access to malicious actors. This vulnerability can lead to data breaches, compromising both the facility's and the users' confidential information. Additionally, unauthorized data manipulation could disrupt the functioning of the management system, potentially leading to downtime or mismanagement of energy resources. Financial consequences from data theft and the potential damage to an organization's reputation could result from such an exploit. Addressing this vulnerability promptly is crucial to prevent these negative outcomes.

REFERENCES

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