Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1965164621410099F5A239975BE52FF5890AECB0DC5C7CE94E1EC41EB27D1EA0C663365 |
|
CONTENT
ssdeep
|
24:hRx/QpGjMOODUoE7kLz7vlv/eWYi5TbKWjy5YqYcF06IFoNOfFJjFXcoQjKp5aWR:TxY8eUWzt9h5f0y02FowFN1Sk5vV0M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5523578957265f |
|
VISUAL
aHash
|
8000001818000001 |
|
VISUAL
dHash
|
00002c32320d1001 |
|
VISUAL
wHash
|
c0c0141c3c243333 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
00002c32320d1001 |
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 12 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.