Hacking web applications using AI involves leveraging advanced machine learning techniques to exploit vulnerabilities in web applications.
1. Perform Web Application Hacking using ShellGPT
Detect WAF
sgpt --shell “Check if the target url www.certifiedhacker.com has web application firewall”
sgpt --shell “Check if the target url https://www.certifiedhacker.com is protected with web application firewall using wafwoof”
Detect Load Balancer
sgpt --shell "Use load balancing detector on target domain yahoo.com.”
Detect Technologies
sgpt --chat HWA --shell "Launch whatweb on the target website www.moviescope.com to perform website footprinting. Run a verbose scan and print the output. Save the results in file whatweb_log.txt.”
Other prompts
sgpt --shell "Use Sn1per tool and scan the target url www.moviescope.com for web vulnerabilities and save result in file scan3.txt”
sgpt --shell “Scan the web content of target url www.moviescope.com using Dirb”
sgpt --shell “Scan the web content of target url www.moviescope.com using Gobuster"
sgpt --shell "Attempt FTP login on target IP 10.10.1.11 with hydra using usernames and passwords file from /home/attacker/Wordlists"
sgpt --chat wah --shell “create and run a custom script for web application footprinting and vulnerability scanning. The target url is www.certifiedhacker.com”
sgpt --chat wah --shell “create and run a custom python script for web application footprinting and vulnerability scanning. The target url is www.certifiedhacker.com”
sgpt --chat wah --shell "create and run a custom python script which will run web application footprinting tasks to gather information and then use this information to perform vulnerability scanning on target url is www.certifiedhacker.com”
sgpt --shell “Fuzz the target url www.moviescope.com using Wfuzz tool”
