Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119F10F32A44CEC3B23235FD17492B715E2D6C66ECA521610D6BC439D0FEBEE2E44265B |
|
CONTENT
ssdeep
|
192:EH0J6kYMHApTCuCgrylBdDAKe8L+jKkrA2jg1rAUj3KrA2dv:W0J6kRAJ3jG9AKe8L+jKkrA2jg1rAUj4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666cc5c763233 |
|
VISUAL
aHash
|
0018001818181800 |
|
VISUAL
dHash
|
62724cb2b2b2b24c |
|
VISUAL
wHash
|
0018ffff38383c3c |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
e2a2e28033b2b8b8,62724cb2b2b2b24c |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)