Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F3190E3204A7933231B41DA4D427210B3D3C0A6CA9917471CE965EFA6E3E6CAD1D31F |
|
CONTENT
ssdeep
|
48:39qZ1pawvprFAZzxAZlAZoOAZFAZcGAZaRGqdAZjS:3kR9FADArAqOAXA7AYRGqdAA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a7d1483f5df0c883 |
|
VISUAL
aHash
|
6066ffffbf070000 |
|
VISUAL
dHash
|
c8cccc8c6e2f6de0 |
|
VISUAL
wHash
|
6066ffffbf070000 |
|
VISUAL
colorHash
|
07006080000 |
|
VISUAL
cropResistant
|
c8cccccc8c4e6f2f,b1f1e1efefffffff,7020303030303030,1e4e2f2f6dc9e4e4 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.