Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140E274315040AB3B01E783DAB261B72EF2E3C24DDA871A5653FD835D0BE6E44DE63526 |
|
CONTENT
ssdeep
|
768:QeFeColQflg1b6tP+TOf7sOy2+y9BH4crIe:gCXNU+tmTI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412c93939ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc0c8cccc9d00 |
|
VISUAL
wHash
|
04fc60380c06ffff |
|
VISUAL
colorHash
|
12c00008000 |
|
VISUAL
cropResistant
|
c3c3c3cdcdc5e3c3,0c80900458988000,dcccc0c8c8cccc8d |
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.