Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A164718B10A03F42B72CDAF7716B9E799BB20DCE9B540021FD93908BE6DD0CC56562 |
|
CONTENT
ssdeep
|
96:TQSezEFSMhOOlEj2vmt1fE/6puOul5uOVCGM8T+TL:TeziSROlEj11fQ6Q06CGUTL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc2633316cce9b |
|
VISUAL
aHash
|
021c3c180c040000 |
|
VISUAL
dHash
|
1631303258290603 |
|
VISUAL
wHash
|
9afefcfc1c000001 |
|
VISUAL
colorHash
|
07000001043 |
|
VISUAL
cropResistant
|
82809656c6a89252,1631303258290603 |
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 1466 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.