Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAE3A3D55618138CA057C9BDEF2FFE05131FB1AABA1546802A8EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:2a0RQ7HY7wzirahblUIuVHNgwxjRSlFsR8MLqcfXFsR8MLqcMA0:x0RQ7H2Va7Gx12m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b50ef0e8cbcbe0e0 |
|
VISUAL
aHash
|
9f03073fefc3cfcf |
|
VISUAL
dHash
|
30364e701e169e9c |
|
VISUAL
wHash
|
1f03031fc7c3c3c7 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
30364e701e169e9c |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.