Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B832AA43A59F6A65AF3439310DF1103B378162B540E4D206350FCAE76BDC9BA067FDA |
|
CONTENT
ssdeep
|
1536:TcBTVq53QSoHxh8N6MmbXhjaPnQsR+9xWuY+NjtcI:TcBTjzmN6/btZ9xM+5L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4349e9e9e9c3434 |
|
VISUAL
aHash
|
dfc3c3c3ffffffff |
|
VISUAL
dHash
|
3396969661060000 |
|
VISUAL
wHash
|
00c3c0c000000000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
3396969661060000,08304c4d4d100000,099383b08e8e7109 |
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 91 techniques to evade detection by security scanners and make reverse engineering more difficult.