Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1515320319400DD3741DB89C99636922A26F68385CA630688FBF8C7F95FEFC58CA37164 |
|
CONTENT
ssdeep
|
1536:VsIxewCPK5rjylK2E6IOZuagHqI3ImJS2gcIYLQICeIkPksuGIyIhuBn9fz7ewm:Vz8K5rjylK2E6IOZuagKI3ImJS2gcIYY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec12b59a6abd126c |
|
VISUAL
aHash
|
fff1002000f1fbf3 |
|
VISUAL
dHash
|
2e22624345e317a7 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06c02000000 |
|
VISUAL
cropResistant
|
2b22634345e317a7,f0f0f0b8a8cac2d2,00020d0404040204,9696969311531b59,8202020606060606,88b279b8b879b1b1 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.