Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135F33AF562D462D89107DBB4E571B866716F34FFEB96C68CC2E44E90B7918A8C8C8DC0 |
|
CONTENT
ssdeep
|
1536:ObeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDqlcjnrwyHgpzOfAnyjTu8cA6FHGd:wlakcjnrwyH1Tu8cA6FHxpI3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9563a53c3cc76895 |
|
VISUAL
aHash
|
022060380e1a7e7e |
|
VISUAL
dHash
|
c6c8c85434b2d4d4 |
|
VISUAL
wHash
|
026e60341e1e7e7f |
|
VISUAL
colorHash
|
31201010000 |
|
VISUAL
cropResistant
|
e0b1ab685858556c,f6e496c673f0d0d4,a5e4f2f9808296b6,c6c8c85434b2d4d4 |
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 5236 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.