Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E2743262842D3E760787F9F1E0BB6DD1AFC798C6278568F3AC017627C6C458A672D4 |
|
CONTENT
ssdeep
|
768:VSmburIwI8tIvMvc1slgN5c08FlkdFl8xKmWgyiIAfV+XSkD9SlTlQlUcPo9V:4g8wc08FlkdFl8xKLg1IAfV+XSsW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9acd663360747533 |
|
VISUAL
aHash
|
303c38180c0c0c05 |
|
VISUAL
dHash
|
e061603119181909 |
|
VISUAL
wHash
|
7c7c3c3c1e1e0e0d |
|
VISUAL
colorHash
|
31001000e00 |
|
VISUAL
cropResistant
|
e061603119181909 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.