Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DE2537152489D3FA5E383D0D325333F72E68286DA4B131492F8836C4BEADD6ED67158 |
|
CONTENT
ssdeep
|
384:XizlQLB7j1NdYi8BZ+pe1cHY9DlvFD21EE63dgHUWVu6:XElQ17xeZ6AYY9DlvZ21LkdqUS9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2932d3c92c3653d |
|
VISUAL
aHash
|
4600606c6c600000 |
|
VISUAL
dHash
|
9c38ccc9cdc8c000 |
|
VISUAL
wHash
|
ff0e6e6e7e646000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9c38ccc9cdc8c000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.