Yonyou FE SQL Injection Scanner
Detects 'SQL Injection (SQLi)' vulnerability in Yonyou FE.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
3 days 23 hours
Scan only one
Domain, Subdomain, IPv4
Toolbox
Yonyou FE is a business collaboration platform commonly used by enterprises to facilitate seamless communication and collaboration among different departments. It is designed to handle large volumes of data and provide analytics capabilities for better decision-making. The platform is often deployed in environments where data security and integrity are crucial. It comprises various modules that cater to financial management, supply chain management, and more. Yonyou FE is integrated into organizational workflows, enhancing operational efficiency and productivity. Developers and IT professionals within enterprises are the primary users of this platform.
The SQL Injection vulnerability detected in Yonyou FE is a serious security flaw that can allow unauthorized access to the database. Attackers can exploit this vulnerability to execute arbitrary SQL queries on the database, potentially leading to data breaches. This vulnerability can result in the exposure of sensitive information, alteration of data, and in severe cases, full control over the database server. SQL Injection is one of the most critical vulnerabilities listed in the OWASP top ten due to its potential impact. Properly securing input fields and queries is crucial in preventing such attacks. Ensuring best practices in database queries can significantly mitigate the risks associated with SQL Injection.
The vulnerable endpoint in the Yonyou FE platform is located at the assetsTestList.jsp page. The vulnerability arises due to improper handling of user input in the SQL query parameters such as deptCode, key, and unitCode. Malicious users can manipulate these parameters to inject SQL commands by appending payloads such as UNION SELECT statements. The ability to use UNION SELECT allows attackers to combine results from other queries to perform data extraction. Additionally, using hashbytes in conjunction with MD5 provides a mechanism to verify the exploitability and extent of SQL Injection. Ensuring that user inputs are validated and restricting certain SQL key terms can help in preventing exploitation.
When exploited, this SQL Injection vulnerability can have severe consequences for organizations using Yonyou FE. Attackers could access and modify sensitive financial, operational, or personal data stored within the database. This could lead to unauthorized access or exposure of proprietary information, leading to reputational damage. In some scenarios, the integrity of the entire database could be undermined, affecting business operations. By executing SQL commands, attackers might create backdoors or elevate privileges, further compromising system security. The financial impact, along with potential legal repercussions for data breaches, underscores the need for urgent remediation.
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