Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEA287312300397F908793F1F3A5AB5EF1A4D35DD70BCA8963E9876A2FE6C21AC15245 |
|
CONTENT
ssdeep
|
384:vaWipA114y/A0PPaF8tWav0WdF9Ha749tRTYAdFmp:v8pA12yV97dFIvCFmp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c75830661fc7c738 |
|
VISUAL
aHash
|
40507c3c3c703000 |
|
VISUAL
dHash
|
99a1e9e060e0e484 |
|
VISUAL
wHash
|
407d7c7c7c787070 |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
26a7c10ad6aaaae6,a2aa571131c62aa2,99a1e9e060e0e484 |
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 276 techniques to evade detection by security scanners and make reverse engineering more difficult.