Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B632B7052807E77524363D97122676672F12128FA22CA0C81FEAF5A5FD1DC9CD278AF |
|
CONTENT
ssdeep
|
1536:TG61/hCXUt9F91kz+zr29qSnmdyLIQRZPKh4KJfzjebEN:8EsMmEN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f247388573738cb8 |
|
VISUAL
aHash
|
00000000ffffcfcf |
|
VISUAL
dHash
|
c4c589c808003d3d |
|
VISUAL
wHash
|
00700020ffffcfcf |
|
VISUAL
colorHash
|
13601010000 |
|
VISUAL
cropResistant
|
e3e61e4ccec4d878,313968d0c0808000,343030b01078d8e8,020008203d3d3d3d,46c0c585a9c9488a,ae2a666626362626 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.