Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AA27130B2D8703B80076BCE539D17A67093665DDB6B0B01B3F8636A8F96C97AE1415F |
|
CONTENT
ssdeep
|
384:6olGfOuIHqbNAu3q9dQNv9dQN69dQNv9dQNjCh:6olGfOuI0qu69dQNv9dQN69dQNv9dQNQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3a79e2c34b49696 |
|
VISUAL
aHash
|
06703e6c60602c7c |
|
VISUAL
dHash
|
9cc3c8d8c3c6c8c8 |
|
VISUAL
wHash
|
07737e6c00707cfc |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
9cc3c8d8c3c6c8c8 |
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 214 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.