Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4836632D353190390ABC1D9F0724B4973518A89CB174B7977BD27BAF9CECB53622298 |
|
CONTENT
ssdeep
|
1536:g29zaYSeeqE0eekKPUgOq61eIJ5QN2eiUee0BczyVQCGUOdyEOZz7+m07ZFcpHKw:4UPUgOq6GAH9eP2Rk222I2222222XQ8d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4cf8669389392cb |
|
VISUAL
aHash
|
ffc3ffc3c3c3c3c3 |
|
VISUAL
dHash
|
d626e49fa68e8e8f |
|
VISUAL
wHash
|
f383ffc301c341c3 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
d626e49fa68e8e8f,91d2b2b0a9a0a2f2,099964f1312f2b2b,8e5664c7d6d55656,9793d6c569a27171,0b43312c30202030 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.