Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DC2A43161406B3B42A3C3D9B361772EA2D3C289EB46091643FD876D0FE7E90ED67925 |
|
CONTENT
ssdeep
|
768:Cie3dMNwrIaTGQr9QMz7sOy2+y9BH4crIe:cMS5JT7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2459432f934b4ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c0c8c8cc8c00 |
|
VISUAL
wHash
|
067c3020640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc0c0c8c8c8cc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.