Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B902EE7064959E3B02C3D6E06AB0AE0FA390C381DD774B4A62F5D74DAFC3D46CC526A5 |
|
CONTENT
ssdeep
|
96:TL39DIAeFuLxYviKNF4vuzIvi6WuHrI6zoQWcCj0o1RbZFuHgdKomn3CQ:vNuFuCpoWkUizrWccnZFu/o4V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ada7166ce69319a |
|
VISUAL
aHash
|
0098ffff7f000000 |
|
VISUAL
dHash
|
21313973e1ce3269 |
|
VISUAL
wHash
|
00fcffff7f070000 |
|
VISUAL
colorHash
|
39601008000 |
|
VISUAL
cropResistant
|
c40080c0c08000a4,21313973e1ce3269 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.