Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CE131F1D040ED37031385C9A7B66B0B7791C349CB07064497F883ABABCAC60CB1569D |
|
CONTENT
ssdeep
|
96:TkrMnbzH71tDlUq1SS8LAwvFjelXrHFfexXYX/Ft7Lqb7ytgn6cJ:QrMnbzH715lUqO8BA+XthY7y6nP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eced1393921a9393 |
|
VISUAL
aHash
|
fff3f3f3ffff0000 |
|
VISUAL
dHash
|
2727272706380600 |
|
VISUAL
wHash
|
fff3f3f3f3000000 |
|
VISUAL
colorHash
|
070000c2000 |
|
VISUAL
cropResistant
|
022727272727263b,7963e6c6e2e0e0e5,6161e1d9d8b4f0bc,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.