Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187D2F83E5241602A9137898AB772734DB3BB623EFE620814F7BC435857CBC91E4639B5 |
|
CONTENT
ssdeep
|
768:z287GKKXOOpJH2IAI7rI/IAI7rI/IAI7rI/IAI7rI/IAI7rIjM6hrARJLgqyz+pT:z287GZ92IAI/I/IAI/I/IAI/I/IAI/Is |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbbbafa565446401 |
|
VISUAL
aHash
|
c3bd890000003c18 |
|
VISUAL
dHash
|
072b3117d0d07071 |
|
VISUAL
wHash
|
e3bf99007e183c3c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
072b3117d0d07071 |
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 230 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.