Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FB264B161506A3F42D3C2D87771672FA2E2828EEB85150253FD8FAD0FD6E40DE27529 |
|
CONTENT
ssdeep
|
768:U4eOzmazPjhd+wBEKiz67sOy2+y9BH4crIe:ffjh/h77sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2458432f932b6ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c0c8c8cc8c00 |
|
VISUAL
wHash
|
067c2060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc0c0c8c8c8cc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.