Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119831AA83919F5221AB343A720DF15037378121B580D4C70B294FD9EA6FDC6AB16BFD9 |
|
CONTENT
ssdeep
|
1536:2YWAaO5iQlUuRNka2wblHbJLwLIz9GguGOjjRnY:xWAhrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c26ae2babaa23ab |
|
VISUAL
aHash
|
9118181818181818 |
|
VISUAL
dHash
|
23a2233232323232 |
|
VISUAL
wHash
|
93183c3c3c3c3c3f |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
23a2233232323232 |
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 488 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.