Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EB1A543D34477B90F9B85589B8217FFDA3890B8F30902FC79D1C02887959AD82BA7A5 |
|
CONTENT
ssdeep
|
96:TVB9gtkXrR5wWIBRugo6M4thrs3AVM484GDcRfTxb:BB9/HRIBRthrs3c984GYLb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6a689595b19195 |
|
VISUAL
aHash
|
f0b0f08f9fffffff |
|
VISUAL
dHash
|
6361811e7c2c8e0c |
|
VISUAL
wHash
|
f010f00e0ee6eeee |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
6361811e7c2c8e0c,31cece2dd3d1c12c |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.