Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150834CF56980FD2215E300A3B24AA587B1BA0C0FF5094990B55CCACBBBEF46351E77E5 |
|
CONTENT
ssdeep
|
768:PrgT0TQH7YFc5QnGqk5VxR+pw3kUfUHeIGelGTBU9ZEMWVj4ecSGnGqkHVzc+b47:jfW4wG+IQTK9ZWTa2zQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c792e533b13c8d4c |
|
VISUAL
aHash
|
763c3c18202030fb |
|
VISUAL
dHash
|
c4e860f0c4c0e5c2 |
|
VISUAL
wHash
|
7e7c3c38382030ff |
|
VISUAL
colorHash
|
30400008002 |
|
VISUAL
cropResistant
|
4aa3a6ae6a48cbcf,eeb0008e0c042000,c4e860f0c4c0e5c2 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)