The invention provides a website login 
brute force crack method and 
system capable of identifying a 
verification code. The method comprises the steps of 1, through static webpage analysis, extracting information required for website login; 2, through dynamic webpage analysis, intercepting a login data 
package submitted to a website 
server by a 
client browser; 3, reading a group of user names and passwords from a 
brute force crack dictionary; 4, obtaining a 
verification code picture; 5, identifying the obtained 
verification code picture; 6, filling corresponding parameters in the login data 
package intercepted in the step 2 with a verification code identification result as well as the user names and the passwords read in the step 3, and submitting the replaced login data 
package to the website 
server; and 7, analyzing a website 
server response, if it is prompted that the verification code is wrong, returning to the step 4; if it is prompted that the user name or the 
password is wrong, returning to the step 3; and if it is prompted that the login succeeds, recording the user name and the 
password by which the login succeeds. According to the method and 
system, a website with a verification code login function can be subjected to automated 
security testing.