Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169E2836132281E7E5247C7B1F3647B3C51ADD389E63B912CE5B941B12B82E4CEC1A69C |
|
CONTENT
ssdeep
|
384:kbPuWUQeLtjDMpasYnasG+asDPXeSjLl7HRIkB7q5gU6HJY0TeqVMU5XrU9XYUbM:XHjDM0pLLjnv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b10d39c7c4d761 |
|
VISUAL
aHash
|
6a00767666000030 |
|
VISUAL
dHash
|
d6b1c4c4cc386461 |
|
VISUAL
wHash
|
7b387e7e7e0e0030 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
d6b1c4c4cc386461 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.