Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EB160A1D06CCCBB010780C5B1709F8A76A19296CFA34B0456F973AD6AD9CF7FE85188 |
|
CONTENT
ssdeep
|
96:TggMhPfdgUH6e2eJNeHexeJrEjG30vC5QkyUMf:3ohae2eJNeHexe2aE6/yUMf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4249999d966cece |
|
VISUAL
aHash
|
c3c3c3c3e7ffffff |
|
VISUAL
dHash
|
8e8e8e8e0e000400 |
|
VISUAL
wHash
|
00000000033f3f3f |
|
VISUAL
colorHash
|
07000008188 |
|
VISUAL
cropResistant
|
8e8e8e8e0e000400,400292f226696968,c486d0d00f30b210,33f069717161d032 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.