Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103136460E490CD6A064342D1F7F7EB6D022DE295DF1108F5A3ED075B9BA6E5CA38F209 |
|
CONTENT
ssdeep
|
384:55hyh3h2aCx726jZS/IpfZTCO0+Jz8dFjLhwdVf4w4ITcplXJeO16EZndWAhNJgw:TI54aCx7zY/IpfEb+B8dFPUEHWAhrd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b53c3cb4e59330 |
|
VISUAL
aHash
|
02607c7e6c7c2060 |
|
VISUAL
dHash
|
16c3c8cccde9c1d1 |
|
VISUAL
wHash
|
02707effec7c2070 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
2d5456254accc84a,5511ab6d32657545,9391ca8835b54b9b,16c3c8cccde9c1d1 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.