Name: Error Based SQL Injection Scanner
Same as Meta Description: This scanner detects the use of error-based SQL injection in digital assets. It helps identify vulnerabilities that may allow attackers to execute SQL errors for unauthorized data access or manipulation, providing critical intelligence to protect against cyber threats.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
23 days 6 hours
Scan only one
URL
Toolbox
SQL Injection vulnerabilities are critical security flaws commonly found in web applications. These vulnerabilities occur when an application improperly executes user-supplied inputs as part of a SQL command, potentially allowing attackers to run arbitrary SQL code against the database. SQL Injection vulnerabilities are prevalent and can be exploited by attackers to read or modify sensitive data and perform administrative operations on databases. They can be found in various applications relying on SQL databases for data storage and retrieval. Organizations leveraging SQL databases should regularly check and secure their applications against such vulnerabilities to avoid data breaches.
SQL Injection essentially allows attackers to insert or "inject" malicious code into query strings through input fields. Using this flaw, attackers can perform unauthorized operations like data retrieval, modification, and even deletion of entire databases. Error-based SQL Injection specifically utilizes SQL errors to retrieve information from the database, providing a means for attackers to understand the database structure and contents through error messages. This type of injection is particularly dangerous because it can be exploited rapidly, granting attackers quick access to vast data repositories.
The detection of SQL Injection vulnerabilities involves tracing the flow of user-inputs into SQL queries. In error-based SQL Injection, specific patterns and indicators are searched for in database error messages, produced when unvalidated inputs are executed without proper sanitization. The scanner focuses on identifying these error indicators that reveal database versions or instances, which might include terms like 'syntax error' or 'SQL Server' identifiers. It's a complex process requiring recognition of diverse database error repertoires from systems like MySQL, PostgreSQL, and Microsoft SQL Server, among others.
The exploitation of SQL Injection vulnerabilities can lead to severe data breaches, compromising user privacy and trust. Attackers may effortlessly steal sensitive information such as account credentials, personal identification numbers, and financial data. They can also damage data integrity by corrupting or deleting records and might gain unauthorized administrative privileges, thereby controlling the database. Such activities could have dramatic ramifications, including financial losses and reputational damage to the affected organizations.
REFERENCES
- https://owasp.org/www-project-top-ten/2017/A1_2017-Injection.html
- https://cwe.mitre.org/data/definitions/89.html