Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFB3E7B95051257F10378AE1B0A9E35EA0CB831CDF63D894B3DC53A62FCBCA29E1556C |
|
CONTENT
ssdeep
|
1536:lN/jlpKeWe5SQDdi9CujKg9HywmW8VpiPAqEOwA32WZasvsz9JVIUMMMg+IlvHOj:l9lhdcCujpzLmOUuaFFVE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d2376dcdd232389 |
|
VISUAL
aHash
|
0118190118181818 |
|
VISUAL
dHash
|
13333323b3302032 |
|
VISUAL
wHash
|
ff1b1b1b3f181818 |
|
VISUAL
colorHash
|
380c3000000 |
|
VISUAL
cropResistant
|
8208104d4d081082,13333323b3302032 |
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 906 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.