Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12231117498D8CE3763A6C2D996F1F72E61D68295DB4B060483F09B9C0BCBFD1DD06884 |
|
CONTENT
ssdeep
|
24:hwfP0vI/ulIW0I6rDTukG9DCjGcG8zQR9ohx2weF117pqLnZTKxa:un+L/aDsIScG8oohxnNYa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c6333ccccd99933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
033333323332373f |
|
VISUAL
wHash
|
e0e0d9d99b1b070f |
|
VISUAL
colorHash
|
00000400012 |
|
VISUAL
cropResistant
|
b23ab6b1890e8eb6,033333323332373f |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.