Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11492553831601BA7058F46FD3368A7DD5298C7C4D627AB2AB3E542461B8BF4449E3BD3 |
|
CONTENT
ssdeep
|
384:BSkUiGedMhfRgpflcarFYDVq6fzwueP8BCSkxiOcUcvZfRIbBoSkl5Fl:BHUildMhfRcdrFYbfzw8CHxiOcUcvZfX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aeda94b561296966 |
|
VISUAL
aHash
|
1f3f010323131313 |
|
VISUAL
dHash
|
f665676367666fe6 |
|
VISUAL
wHash
|
3f3f012b27171713 |
|
VISUAL
colorHash
|
00001000180 |
|
VISUAL
cropResistant
|
cdece4e6afcacace,fcf128202c381c34,dfcfcd4d4d6d69f3,ec8af3cd8ce4e80e,1c3ee4e426e664e5,cf899898828387e4,f665676367666fe6 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.