Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1462408A463D062F4E047D3E4E736A939327720F8BB53C9ACC7A91DB4E79604D88768C5 |
|
CONTENT
ssdeep
|
1536:wlmG6H4+9mcCKZPZVb6YEexKsU5D2GF/LO4I1mvSjF9rrY4I1mvSTF9rr0q9VQQi:1Fg2GF/y78rg6nw1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6cc3c39b4c6263 |
|
VISUAL
aHash
|
fd838393dfffc3ff |
|
VISUAL
dHash
|
6b3535253807162a |
|
VISUAL
wHash
|
f981859180ffc3cb |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
6b3535253807162a |
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 13600 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.