Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155C2E979A201267C63078BE4F2E5B76A60ADC38AEE1F554CF2BC41F273C6CD59D52260 |
|
CONTENT
ssdeep
|
384:23TqQkQmQQQCYe8ywmfNDwDMZ1KeXrJXS2l:23TqQkQmQQQCYe8ywmfNDwDMZ1KuSa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f56c06995f44d17 |
|
VISUAL
aHash
|
fefd1c9e1999ff7f |
|
VISUAL
dHash
|
80317474737334c4 |
|
VISUAL
wHash
|
7ef818101111bf7f |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
80317474737334c4 |
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 150 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.