Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B339D77A23F4C66901FB1E4A7B447293543DB8683839BF6917812E67B8C8393D0359D |
|
CONTENT
ssdeep
|
768:bYDudsvasAmoD748xtQjcAlTj4BQ7KyfJLo8eVu2awX1ThidPdmX2E:bYDudsCRBwlZ1wJheVmGE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7343c9e9232696d |
|
VISUAL
aHash
|
2420003c3c3c3c3c |
|
VISUAL
dHash
|
d4d4c2d8e0e0e0e0 |
|
VISUAL
wHash
|
2830203c7e3e7e7e |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
d4d4c2d8e0e0e0e0,eee5490981915971 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.