Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B983E020B369151BC6BBE5D8A4607F2E7653F307830A46413FA41995AFCFCF8B9614E8 |
|
CONTENT
ssdeep
|
768:uF2eey6UHDA2fM/7fM0AfMZyfebpWphpzpzpWpm5ken6If0uQEf6rT:uF2eezUHDAf/o05ZzlUTddUCpeEyrT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c23233963c9ccd |
|
VISUAL
aHash
|
ffc999ffff8181ff |
|
VISUAL
dHash
|
d52b3326000b0b40 |
|
VISUAL
wHash
|
7c8191c3ff81819f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d52b3326000b0b40,0481180d0fc3753b,7232cf8b9a93999b,55559a9a63a5154d,4d7b8a8a1b363475,4f9dd85f69dede29 |
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 39 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.