Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19921443592608816448253893FF16746B3828242F7161E5436FA87AD1EF8E5BCC1A4A5 |
|
CONTENT
ssdeep
|
24:hRfCLBADenvFZoZJjiMfpRhfl7Xo3VfVKuOv4:TgBIenvEZViMfdftCtKQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea57f12a47e303a8 |
|
VISUAL
aHash
|
e4d20e343101c3c1 |
|
VISUAL
dHash
|
4c367c6921a39b17 |
|
VISUAL
wHash
|
ecd6ae343101c3c3 |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
3bb7eed972e8d0a0,a2809acccc8c80aa,4c367c6921a39b17 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.