Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16183B57393484DBE743786EEF3A0F324E26D8346E44B418BD67D67B26B89C58E523850 |
|
CONTENT
ssdeep
|
1536:beFjxi4NaDVTTTTHTTTTsTTTTGTTTT0TTTTSTTTT87x:q9IE7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e0bc9cbe8ace14 |
|
VISUAL
aHash
|
ff6e606904300000 |
|
VISUAL
dHash
|
8998c9cbdcc048d6 |
|
VISUAL
wHash
|
ff6f7d696e700000 |
|
VISUAL
colorHash
|
16c00000000 |
|
VISUAL
cropResistant
|
79898898d8c9c8c9,5badad6848a4d4f4,00429595d5d5d484,98c8cbd9ccc05cd6 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.