Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE239B4A230D335B1C247E8DA6429287A5FE1DCD7C695B4E388AF11B0D6CECD9160CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguXV2xRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AskURW+Md:Y7fUWeguXuhhPhleMeDGCSPxeeWmHBW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c3f9e483b7848 |
|
VISUAL
aHash
|
6066606070706660 |
|
VISUAL
dHash
|
44ccc2c3c3ccccc9 |
|
VISUAL
wHash
|
f076767070766e60 |
|
VISUAL
colorHash
|
30200c00000 |
|
VISUAL
cropResistant
|
7242c0c85869d0d8,0010323232300800,44ccc2c3c3ccccc9 |
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 69 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.