Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14471943C304084AB5A234F60F5D1E646B98EEB0EC963D9B5E1FAA1B913D2E91CE11875 |
|
CONTENT
ssdeep
|
48:3bR8U+m19ld1+NbWKxS6zP4trgDWy0gQCPGYi8halSrgDCy0gQCPGYkOOjsAnEIb:LDV+v4tOS8UoOrOjvb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f38c4c2399c966ce |
|
VISUAL
aHash
|
0f1f3f7ee4e0f8e0 |
|
VISUAL
dHash
|
fefcecf0cccc9000 |
|
VISUAL
wHash
|
0f0f0f3ef4e0f0e0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
fefcecf0cccc9000 |
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 28 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.