Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE92BC73A0666A2711D2D2D44734764FEBC7E11BCD370B0AB7F89B5E8AC6D52CD22218 |
|
CONTENT
ssdeep
|
192:6Zd4F0k7GBbMRqCbL9RqbqjjgqWksGajfVGclkGSpyxLWzSaP4bN7Cqd7Ga:Yd4F0k7GBbMXbZcGMB8YLkjI7Cqd7Ga |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c1c63f3f3463495 |
|
VISUAL
aHash
|
00181abaffdf3c00 |
|
VISUAL
dHash
|
d432b622692be4c5 |
|
VISUAL
wHash
|
00185ababfdf7e01 |
|
VISUAL
colorHash
|
090030000c0 |
|
VISUAL
cropResistant
|
6b6264c486b1dad3,b0e9f6e4e4a9b111,b0f0f064cda5b5c8,a280b2f86d5d5821,86ae37f6e63ed696,d432b622692be4c5 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.