Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14783977862919BBB60C382F2E7946B2DB2D4C78DD573DE4AF2F9829717C7C014E81294 |
|
CONTENT
ssdeep
|
1536:q9EH8oSaMWOUewAe3L05DzGxkrKK6ESkeTs7qnifsAuReBo9SUaEUVfCqAroyloq:qIBPAhuq8bR1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6c92926b685a0f |
|
VISUAL
aHash
|
fd9f919131ffffff |
|
VISUAL
dHash
|
457233336308ce50 |
|
VISUAL
wHash
|
841f1101119fe7ff |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
457233336308ce50,f8cadecacaccc8cc,f8c8ccccccc8c8bc |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)