Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14AD275325144AA3B02E383EAB774772FA6E28249DB47061A53FD831D0FD6E41DE6351A |
|
CONTENT
ssdeep
|
384:meFtYc32Hb5bd1/1y1EymclqHCenn9As+ejk/HCPcAyWqB2q3e+3DCIYsOy2+y9j:meFtyWqHCaAz/CCg7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247b412ed38b1e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcccc8c8cccc8c00 |
|
VISUAL
wHash
|
0cfc6020140effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880900458988000,dcecc8c8c8eccc4c |
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.