Authors :
Md. Afzal Ismail; Md. Maruf Hassan
Volume/Issue :
Volume 6 - 2021, Issue 10 - October
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3ExIGdA
Abstract :
In the modern era of technology, the usage of
web applications has become enormous. Web
applications are now dealing with much more sensitive
data. As web applications dealing with sensitive data,
they are encountering lots of threats.Intruders are always
trying to find new ways to penetrate these applications
and misuse them. The attackers use vulnerabilities to
perform those attacks. Cross site request forgery aka
CSRF is one of the vital threats and top ranked web
application vulnerability. CSRF attack is a type of attack
where end users are forced to perform unwanted actions
on a web application in which they are currently
authenticated. In some previous researches, several
numbers of case studies are found. In many researches,
different types of models are proposed and developed. To
secure the web applications that are vulnerable toCSRF
vulnerability, many more studies need to be done in this
field. Therefore, there is not enough studies on
automated system to detect this CSRF vulnerability.
Therefore, the key focus of this research is to develop an
automated web application vulnerability detection model
for detecting the CSRF vulnerability in web applications.
My proposed solution is to do real time scan of CSRF
vulnerability in given URL.
Keywords :
CSRF Vulnerability, Cyber Security, Automated detection Tool, Web Application Vulnerability
In the modern era of technology, the usage of
web applications has become enormous. Web
applications are now dealing with much more sensitive
data. As web applications dealing with sensitive data,
they are encountering lots of threats.Intruders are always
trying to find new ways to penetrate these applications
and misuse them. The attackers use vulnerabilities to
perform those attacks. Cross site request forgery aka
CSRF is one of the vital threats and top ranked web
application vulnerability. CSRF attack is a type of attack
where end users are forced to perform unwanted actions
on a web application in which they are currently
authenticated. In some previous researches, several
numbers of case studies are found. In many researches,
different types of models are proposed and developed. To
secure the web applications that are vulnerable toCSRF
vulnerability, many more studies need to be done in this
field. Therefore, there is not enough studies on
automated system to detect this CSRF vulnerability.
Therefore, the key focus of this research is to develop an
automated web application vulnerability detection model
for detecting the CSRF vulnerability in web applications.
My proposed solution is to do real time scan of CSRF
vulnerability in given URL.
Keywords :
CSRF Vulnerability, Cyber Security, Automated detection Tool, Web Application Vulnerability
