Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDC29531A0107A3B42D7C2D9B3A1E32BA2A3934BE746051552FD83AD4BE7D94DE3351A |
|
CONTENT
ssdeep
|
384:oWSby5NTs28ysILAnGfWV8HcUeYKwEUIXfAsxepto8FAIYsOy2+y9BH4ciUIe:1Sby5NTk+kw6owWm7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e91c94e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccccd8c88c3c00 |
|
VISUAL
wHash
|
00f67a00600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
d245714d4d715596,1080800458988000,94ccccf0c8c92c3c |
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.