Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD23DA2212042E3FA927CAE9F6F5B338526ED158C33AA518F6FC117617C2D45E9372D8 |
|
CONTENT
ssdeep
|
768:VSmIueDa2RY+YdYuYDrlLAJBYmwuhnkYq8d81Yy9oYuYeSiOgdnYg4vsy7JphJP:4dDqwuntmP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cca573c8c9a52373 |
|
VISUAL
aHash
|
c383031a18d8c0c0 |
|
VISUAL
dHash
|
06260eb2b2b09488 |
|
VISUAL
wHash
|
e3c7831bfcd8e0c0 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
06260eb2b2b09488 |
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 18 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.