Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C99309B1135255BF1003D396FA90FE1EB29AB6E9FF17890493FC421A76CAC49CD11E98 |
|
CONTENT
ssdeep
|
1536:9BCyvzrukqQS5wSwv0O7i3QMCnp0of2P9sn15WEzHlT5WkIicMUUUUtMMMMFydw5:90kqQS5wSwv0O7i3QMCnp0of2P9sn153 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d52a3d8768dd827 |
|
VISUAL
aHash
|
643c3c1000181b03 |
|
VISUAL
dHash
|
d470702064b3b3c7 |
|
VISUAL
wHash
|
7e3c3c18183f3b13 |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
8088808ccd8c8088,d470702064b3b3c7 |
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 87 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.