Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A281A5F293014C263233D3C1F6C6B3689135820BE345296496DE42E9D7DDCE9F23B64A |
|
CONTENT
ssdeep
|
96:TwnKuOHmbsRtRuY/UBVNxwZqvZP7AxTW5NPr:8nKuOHmbGRuY/UtxwMvBMxK5x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8da526ad8da78da4 |
|
VISUAL
aHash
|
0300181818180000 |
|
VISUAL
dHash
|
0612323232320810 |
|
VISUAL
wHash
|
0717989898980000 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
0612323232320810 |
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 34 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.