Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD274316114AB3B02E3C2D6B630676FA2E7C34DDA46061253FD835D0BE7E41DE63A26 |
|
CONTENT
ssdeep
|
384:eeafAc26H1D1D1nxyGqZ4X8DGAbs7TOyCiudloRqiWkHqAL6b+nZpIYsOy2+y9Bb:eeafnTHmGQ+OU7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243b412cd3cb5ed |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
ccccc0c8cccc0d00 |
|
VISUAL
wHash
|
04fc60280c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,ccccc0c8c8cccc0c |
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.