Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140C1349C5250083564579C997DB1870D11EEC048DE07E6F86AE213FB5FDEFA2087A7C9 |
|
CONTENT
ssdeep
|
96:TwSPDkk3JPFZ41JPFZ4GAP8QJPfVZ4t0nPNe0tO0uW6YIQcA:bPDkkIW8afnP9tHJHIQr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1315f4f645c4e46 |
|
VISUAL
aHash
|
00ffffc3c3ffffff |
|
VISUAL
dHash
|
109e28960e200000 |
|
VISUAL
wHash
|
00430303c3c3ffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
109e28960e200000 |
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 336 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.