Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5E3D771421916FF116BE3E5B5506F1E729BA3DBFB13890882FC8651EB89CA9CC16CC1 |
|
CONTENT
ssdeep
|
3072:K9dZCpaBj8D/g5/UvXfRDCgOdm0ofG7P9sn15IAUupD:KDZMD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
935c6cd2926da996 |
|
VISUAL
aHash
|
7c103e282cef2031 |
|
VISUAL
dHash
|
c8605052694a4043 |
|
VISUAL
wHash
|
7e003e283eef3073 |
|
VISUAL
colorHash
|
07009000e00 |
|
VISUAL
cropResistant
|
c8605052694a4043 |
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 42 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.