Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16193A7B25251643360BBA6D9F125671AA3C3C74FC68287D1E2F8E35B1EC6C91FC1345A |
|
CONTENT
ssdeep
|
1536:okRXWnErYW8uOzuOCuOhR6kFUtJn1IduMi8cQO9:FRXWPW8uOzuOCuO7VUtJn1IduM7cQO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b41367119c9cecd9 |
|
VISUAL
aHash
|
0000ffdfdfc3ffc3 |
|
VISUAL
dHash
|
c8c82e361e962e06 |
|
VISUAL
wHash
|
0000c7dfc7c3dfc3 |
|
VISUAL
colorHash
|
07200008240 |
|
VISUAL
cropResistant
|
c8c82e361e962e06,cb6f11971c4d8d1d |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.