Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7E2DA206566CD3B40DFA9C8A1B2676A20FA9306C64357D9FAF493F51B9EC6DCE73040 |
|
CONTENT
ssdeep
|
384:gvQj3MzKEb6F2FOFsF+oMyFXSS5sJO5xVZjqTSXnJaz6GYaa+roUa87x:wsIx/jfAGpbUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a32e8da3ab8d0d33 |
|
VISUAL
aHash
|
7fe7007fe7677e7f |
|
VISUAL
dHash
|
c80c4d554dcc80c4 |
|
VISUAL
wHash
|
7fe70000c1667e7e |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
c80c4d554dcc80c4 |
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 76 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.