Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141D29532A110273F1293C2D6F791AB1EE2E2D289EA46095943F9874D0FD7E50DE2357A |
|
CONTENT
ssdeep
|
384:ngayy5NTMSLDV2AvASsKUMVHVPCUVKIQDK/UKIYsOy2+y9BH4cCUIe:g/y5NTZcQZC41h7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7238438b96cfcc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d8c84e4a4860e500 |
|
VISUAL
wHash
|
007f30a8ac00ffff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080803030808000,5cc8ce4a484828e6 |
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.