Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA271B1605C21B601EBA1C8F774BA69B2D2F203CF2949E697F9C3588FD6E61FC54106 |
|
CONTENT
ssdeep
|
192:WZQ+67UrXDawgPNCMxoAALZtzx0XYDvolVfeMdslg8BQhL0t:WSByTawgFMLZTBA30lg8GhY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b164656465659b9b |
|
VISUAL
aHash
|
c3c3ffc3c3ffffff |
|
VISUAL
dHash
|
9696101616121a1a |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07003008080 |
|
VISUAL
cropResistant
|
9696101616121a1a,415b109899c8c4a6 |
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 5 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.