Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3921B29F324277049830399FF2122F5A61344F9A6516B9CE35CC20DF69CDAFCA765CA |
|
CONTENT
ssdeep
|
384:QCoCZSKfCjx+ZhzNzwKNUwrCYjEYMpXhsmMpBZ7eg/B:9oGPfCjoLzNz1rCYQPdGm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72255aa55a8dd88 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e6 |
|
VISUAL
dHash
|
4d4d4c4c0c0c0d0e |
|
VISUAL
wHash
|
07030303c3c7e7e6 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d4d4c4c0c0c0d0e |
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 485 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.