Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F172947241805A7F526396E4B3B6AB25F0D2C04FCC492584F7FC866687EACE0D51DA2E |
|
CONTENT
ssdeep
|
192:uCOKJQmqmXQVQLXQVQ50oiKNJ+A3QmqMonOxT14qKDuRC+vJ9c:jOKJQrmhL0oiKNA2BgDuRCe9c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1738d4d8c2666a7 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
98180c0c184cfaba |
|
VISUAL
wHash
|
7f0c003c002cffff |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
98180c0c184cfaba,4545497171414545 |
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 62 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.
Pages with identical visual appearance (based on perceptual hash)