Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C30397346388183DE19787A4F6E17F3CA17EC28BD70BA99CF27841729386C588D576E4 |
|
CONTENT
ssdeep
|
768:Amd1LxWxnF3GZ8LuyTQ/YHD0p6wFMIzXj1QyzKVlr+:11ViruyGL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e24709e9ed63734 |
|
VISUAL
aHash
|
0000183c3c3c3c00 |
|
VISUAL
dHash
|
d5b3716969696996 |
|
VISUAL
wHash
|
07193d3f3e3e3c04 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
aaeacac2b4a05517,d5b3716969696996 |
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 488 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.