Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109835532D353190390A7C1D9B1724B4973518A89CB174B7977FD23BAFACECB53622298 |
|
CONTENT
ssdeep
|
1536:N9rL0meeA0eekKPUgOq61eI9TQRieKUee0Bczy4QC2U6EyEOZz7j07ZbEpHOZZzY:aUPUgOq6u4OKpbaYRk222I22222225k2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4c7866938d392cb |
|
VISUAL
aHash
|
ffe3ffc3c3c3c3c7 |
|
VISUAL
dHash
|
c626cc8faf8f8b8f |
|
VISUAL
wHash
|
f383ffc301c341c3 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
c626cc8faf8f8b8f,91d2b2b0a9a0a2f2,099964f1312f2b2b,d7693248cccc442c,256d4f7747596b21,1c381e0e0b2f2f11,9793d6456b827171 |
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.