Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4212F21640C5E2F9A578AD0DEF4E70C2097930AEE090814D5FD12F943D9F86DE3B9A4 |
|
CONTENT
ssdeep
|
24:hpJCmXbhg44kMkek82NILaSRij6nhlldlIM4n4AVZ7:LvXbS4NHek82hSpWM4D5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8da7238dcc72d962 |
|
VISUAL
aHash
|
0303181818180000 |
|
VISUAL
dHash
|
130b333232320c10 |
|
VISUAL
wHash
|
07071b1838380000 |
|
VISUAL
colorHash
|
38007010000 |
|
VISUAL
cropResistant
|
130b333232320c10 |
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 106 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.
Pages with identical visual appearance (based on perceptual hash)