Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DD2C9316100BE3B43D393D67361A32FA2A3528AE797051582FC836D4FE7D94DA3761A |
|
CONTENT
ssdeep
|
384:ASSby5NEanBJQI5elnfMC88m1ovHy9o0yY5ArLAmVIYsOy2+y9BH4cCUIe:ZSby5NEoMfGyYG7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d265fc12e91c90ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccccf0c8dc3c00 |
|
VISUAL
wHash
|
00fe7800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,94ccccc0e8c8dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.