Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A843BE053A026BB519787E8B6307357F28B657EEA37D988E3DC87456BC7C68CD00590 |
|
CONTENT
ssdeep
|
3072:zoAjZtXZeiHPCuuUZRs+5wL4ZujVgub5tIZwr7LfqLLaZtmZeiHPCuu1ZRs+5wL7:dFUZU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96e465b2c26d359a |
|
VISUAL
aHash
|
7600003e3c04003c |
|
VISUAL
dHash
|
c4447cf0696c50d1 |
|
VISUAL
wHash
|
ff14027e3c063e3c |
|
VISUAL
colorHash
|
31200038000 |
|
VISUAL
cropResistant
|
aaada5b5b1b9494a,5959a5dbd3961717,5556d6d7d2d2e8ad,c4447cf0696c50d1 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.