Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D481E161E455292F8323E4C0F421FF957BD6D31ECF0E2080E7A886CA1FDBDB994212A5 |
|
CONTENT
ssdeep
|
96:0cz9jX8XYiIyT2j+6aC0PaEf623WPe7bo:0cz9wIbyT2Dknw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87a3f0e40f1bd8cc |
|
VISUAL
aHash
|
e7e71f0f23ff9f8f |
|
VISUAL
dHash
|
cc8c585a46801c19 |
|
VISUAL
wHash
|
e7f7030300ff8081 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
cc8c585a46801c19,0759b1b271f13333 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.