Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF03513090156A3F01A382E2A2716B5FB3E1C24EDB23075977F8839E5FDAC41CD6A659 |
|
CONTENT
ssdeep
|
768:ilY0E6KAAs6j1pjqsOG+vXuOVlBfkdszt7zYgBdgUf7k:sY0/AXd+vpX7zvBdv7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2cccfd12b2c52d |
|
VISUAL
aHash
|
0301010100ffffff |
|
VISUAL
dHash
|
b7f7f7ffff322a0a |
|
VISUAL
wHash
|
0303030101ffffff |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
b7f7f7ffff322a0a,5b3b73737757773d |
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 55 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.