Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F6287709018AD334293A2D1A6B6672FB2D08307DB5F566253F9C3DE1BD6DA0ED3606C |
|
CONTENT
ssdeep
|
192:g/8AdW+0AOL3P/idIUuvuKpyGDh/S//Uv7D8566c9arGSZurdJhrabauU0ROR/:g/8hVpmRUvraKb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd4dcdcf93303232 |
|
VISUAL
aHash
|
b8b800807c1e807f |
|
VISUAL
dHash
|
6363172b481436c8 |
|
VISUAL
wHash
|
f8f88080fcc099ff |
|
VISUAL
colorHash
|
00188000000 |
|
VISUAL
cropResistant
|
3abacb4b6a6a6a2a,6363172b481436c8 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.