Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A4397A123424E6F998782D5FB617B39E159838FCA535C8EF3F50057AF82D58EC463A0 |
|
CONTENT
ssdeep
|
768:aRt7wVvHAFhwbwHx5KlsUA2dFIfad8Ff2AHaWopHaW8BHaWK/HaWUBVFh1kqcU90:0t72WPK2ZBMe+0nk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1df1f72434c495 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
16397135f9cc1c92 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
13c01000000 |
|
VISUAL
cropResistant
|
ccccc1181cc45ab2,9619393071353531 |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.