Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D32321C6A41333D205078AD7DB3756679BC1C7CCA2B8F8E1608175DBBAD891CB7DA2 |
|
CONTENT
ssdeep
|
3072:cXKJrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn9q8O:iKNQ5IBf3NY8O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed16bd926a934634 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
4e22624345e31213 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634347e31213,00020dd4d4d40304,9696969311531b59,8202020606060606,1f0d0d0c8f232264 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)