Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6B2B731A0106A3B50A7D2C9B272A76DD1F3038ADA850559D3FE43FD47EBE54EA3344A |
|
CONTENT
ssdeep
|
384:aD5Ny5NVKqDnbDy67IdQTVExbuIIIIIXZbJZhkAyMqPR8YiDRIYsOy2+y9BH4cUM:25Ny5NVTnysIIIIIpbJZh8MaR8J7sOy8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c243ad3ab269c796 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
8fc3c1c88c04d000 |
|
VISUAL
wHash
|
007d70740e00ffff |
|
VISUAL
colorHash
|
31208000010 |
|
VISUAL
cropResistant
|
0080801030808000,8fd3c1c8cccc4cd0 |
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.