Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D2373313501592B12E7D6D9E832EBAA73964346CB8346E0FAE047B5D68DFB8CD33158 |
|
CONTENT
ssdeep
|
384:rJkP3ojv7loa4O3wHz6S4pTeTbCbI/Bz/hdY2ltJpxNnKoVfP1Z5HfGLzJ7:2P3qGa4OG9KoVF8zJ7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9719a8e9e8a6165 |
|
VISUAL
aHash
|
3ff8c03f3e383c3c |
|
VISUAL
dHash
|
7950067060736971 |
|
VISUAL
wHash
|
3cfcc03c3e383c3c |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
7950067060736971,816c919c8c9c986c |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.