Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18493F9D9D73453BC58CB9BEEFF315468361E60AEBAA18A94C25D8F9456D3C8CE502CC0 |
|
CONTENT
ssdeep
|
1536:OOdIvldOQ5R/HZtG94E0fDzffSYgDPUbj5DvSBVbKtU7nz0IHkdMXv65:KdbdLgDPU+kd/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8d9636724642767 |
|
VISUAL
aHash
|
f0fc381818181800 |
|
VISUAL
dHash
|
91b1b1b03170b037 |
|
VISUAL
wHash
|
f8fcfcf83c3c1800 |
|
VISUAL
colorHash
|
39000000007 |
|
VISUAL
cropResistant
|
6694d8cce4d8d494,91b1b1b03170b037 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.