Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D135260F490C96A064342D1F7F7EB69022DE295DF1108F5A3ED076B9B96E5CA38F209 |
|
CONTENT
ssdeep
|
384:51kdoMpaCx7L16jZS/Ipa/mO0+Jz7dFjnhwFVf4w48TkplXJeO16EZndWAhF/agw:IbaCx7LgY/Ipaeb+B7dF/UEHWAhFad |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b53c3cb8e58730 |
|
VISUAL
aHash
|
02607e7f6c703060 |
|
VISUAL
dHash
|
16cbc8c8cde8c0d1 |
|
VISUAL
wHash
|
02707effee703070 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
2d5456254accc84a,5511ab6d32657545,9391ca8835b54b9b,16cbc8c8cde8c0d1 |
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.