Web Scanning: Existing Techniques and Future

Security in web pages is one of the crucial problems nowadays. Web technologies are advancing with the boost in the digital world and changing requirements. Even though web applications can provide efficiency in storing and managing a large amount of information, certain security issues can pose threat to information assurance. Those security issues, vulnerabilities that mainly include SQL injection, cross-site scripting etc can be prevented using the security scanners currently available. A web vulnerability scanner detects potential security vulnerabilities in web pages by accessing the web page through the front end. They provide the proficiency of detecting errors early. Meanwhile, they have some limitations. Overcoming the limitations still existing to a certain extent, several new techniques can perform far better. The paper consists of two main sections, the first section dealing with existing techniques of vulnerability testing and second section on a new and faster method which employs machine learning techniques for detecting security vulnerabilities.