Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10024F9A393AC187E19370BC5E604633A7547604EED5A44E5E2FEC3E813EACC1B9529D3 |
|
CONTENT
ssdeep
|
6144:9Esp/0VBezj5+3OEo5Hsl3LtEKtgf5u5EBKG7:R/0VBezj5+3Ro5Hsl3LtEKtgfF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e912b99e44d63996 |
|
VISUAL
aHash
|
0000000070ffffff |
|
VISUAL
dHash
|
f0dade26c43b2b13 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
4b4b3a6234b1b9b8,8280848c8c988082,742b0b23032d0313,9479daded61ca4c0,00c0202121000000,040404043404b439 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.