Fumeng SQL Injection Scanner

Detects 'SQL Injection' vulnerability in Fumeng.

Short Info


Level

Critical

Single Scan

Single Scan

Can be used by

Asset Owner

Estimated Time

1 minute

Time Interval

26 days 18 hours

Scan only one

Domain, IPv4, Subdomain

Toolbox

-

Fumeng is a software product used in a variety of industries for managing operations and improving efficiencies. It is typically employed by businesses looking to streamline processes and optimize their systems. The platform is utilized for its comprehensive functionalities that cover a wide range of tools and features critical for day-to-day operations. Companies use Fumeng to ensure their operations run smoothly and efficiently without any hiccup. The software is also a key component in improving communication and data sharing within organizations. Its expansive capabilities mean it is a go-to solution for many commercial operations seeking to improve performance.

SQL Injection is a critical vulnerability that can have severe consequences for the affected system. It allows attackers to manipulate SQL queries by injecting malicious SQL code via input fields or URLs. This exploitation can lead to unauthorized access to the database, often resulting in data theft or corruption. SQL Injection attacks can significantly compromise the integrity and confidentiality of data. The vulnerability is particularly dangerous because it can be easily automated, allowing attackers to sweep through multiple targets quickly. Preventive measures often include robust input validation and the use of parameterized queries to mitigate this threat.

In this specific case, the vulnerability exists in the Fumeng AjaxMethod.ashx file where input is improperly sanitized, allowing attackers to inject SQL code. The vulnerable endpoint involves the `action=getEmpByname` parameter, where crafted input can manipulate SQL queries. Error-based and time-based methods are both effective in exploiting this flaw. The error-based approach uses input that triggers SQL error messages, while the time-based approach manipulates query timing to infer data. Both methods can reveal sensitive information or control over the database. This lack of input validation renders the system susceptible to unauthorized data access and modification.

Exploitation of this vulnerability can lead to unauthorized data access, data corruption, and potentially a complete database compromise. Attackers who exploit this vulnerability successfully might gain access to sensitive information such as user data, company secrets, or other proprietary information. This could have downstream effects like financial loss, reputational damage, and legal liability. Additionally, attackers could manipulate or delete data, affecting business operations and data integrity. Over time, if not mitigated, this vulnerability could expose the company to additional attack vectors or act as a stepping stone for further infiltrations.

REFERENCES

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