Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119E2DA216565CC2A40DFA9C8A272676A20FA9306C24357ECFEB4D3F55B9EC2DDE73440 |
|
CONTENT
ssdeep
|
384:QYEzlPSQ878v8u8OJIz8K1DCsJO5xVZjqTSqnJaz6GYaabroUa87x:gsIx/juAGpKUf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a32e8ca3bb8d0c73 |
|
VISUAL
aHash
|
7fe7007fe7677e7f |
|
VISUAL
dHash
|
a80c4d554dcc80c4 |
|
VISUAL
wHash
|
7fe70000c1667e7e |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
a80c4d554dcc80c4 |
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.