Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2F10EF0D040ED37035785D9A7B6AB0B7791C349CB470A8493F883AA6FDACA0CF55699 |
|
CONTENT
ssdeep
|
96:Tk7nbzD71tDlt8v67MJdtZSV9SS8ctdZwvFsetXeHFue5XSX/NtP6RGS/fd2J:Q7nbzD715lt8iI7tQjj+ovkXVF6xdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc33cccc23 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c0c0c0c000000 |
|
VISUAL
wHash
|
c3c3e7e7e7e70000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080c0c0c0c0c0c08,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.