Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F2B531E004293F860B83E9B35AB71AB2E782DEC74A144465F41B3F86D5D95DC3A26E |
|
CONTENT
ssdeep
|
768:lHy5N+k4eEgezTBtBlTw/r/VDd6uZwhRWsOa37sOy2+y9BH4crIe:SDQw/DVDouZwhRWsO47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24bfc32f92992cc |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
98c5c5cbe0ccec00 |
|
VISUAL
wHash
|
00747d60001effff |
|
VISUAL
colorHash
|
31000c80001 |
|
VISUAL
cropResistant
|
0020084c4c0c3000,0080801030808000,9cc4e5c9c0c0ccec |
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.