Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106E112F0C054ED3B535386E9B7B56B1F77A5C345CB02094853F893BB5BCACA0CA22999 |
|
CONTENT
ssdeep
|
96:TkrKZ7QzH0XfeGnq9SzHHGLF72xoXCHFYyX7CY+/4V9DZ21QkLR:QrKZ7QzH0X1ntHHGEvChAN21QkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31ccc4e329919 |
|
VISUAL
aHash
|
ffffe7e7ffff0000 |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e7c3c3c3dbff0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)