Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105A2853260552B3F21A7C3C97361B71DA1E3A18EC759180993F8475E4BEBF90EC2295E |
|
CONTENT
ssdeep
|
384:GOy5N8kP8VrWbai9ixXQFIIIIvzFNfIIzJ/YM7fjpj19Ujn3YJRbwz8A9m73IYsS:GOy5N8k9WQFIIIIjQIzJ/YM7rFX0n3Yr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c345bc3acd0e96e1 |
|
VISUAL
aHash
|
000020300000ffff |
|
VISUAL
dHash
|
9c42c4e4cbcdcd00 |
|
VISUAL
wHash
|
00e07478600dffff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
0380800070908000,8c52c8c4c3cbcdcd |
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.