Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C4343B26146697B85C791C9AB749B0EF2C7834BCA230D49B7F2834B9FC2D50FC59621 |
|
CONTENT
ssdeep
|
768:xfZ8fGZ8foJAvRg/ehTtlq4/qH0CB19bZ7viJBJBse+fZHzaDbcduhsty0gKIBKZ:SRzq7OkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec1b03cb891b99 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2325372727c8c445 |
|
VISUAL
wHash
|
fff3fbf3f1000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
2b652537172725c3,2f2b2f0f3f3f7f35,20cac8c4c3e44551 |
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 135 techniques to evade detection by security scanners and make reverse engineering more difficult.