Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1139632A0807437452B9EE6B5A5EB1977E3830DDA530418E2FCC3C62FE6D50CE5666A |
|
CONTENT
ssdeep
|
768:FnIITGgQrDDggQv6WBcQszYU6t/BYFhZzwagQL1PNCq5AMe3OD1gQ/qhkWFEwOyJ:FnIIC7mszR6t/eFImPNCm6xJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363ea9c3d31986c |
|
VISUAL
aHash
|
0020000207ffffff |
|
VISUAL
dHash
|
98c9c8dadef8fcf3 |
|
VISUAL
wHash
|
0020000e0fffffff |
|
VISUAL
colorHash
|
182000c0001 |
|
VISUAL
cropResistant
|
34dcf1f8f0f8cbf0,98c9c8dadef8fcf3,414d713333454541 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)