Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141137196310865E5C2F38EC898102A946146EF4FC9718770C2FC4E3A67E75A5B788F7E |
|
CONTENT
ssdeep
|
768:lOt6Pxs7WTCcb4cPfiU5Puhs4jY7yUjJoHVXg0:lOqO8qM70g0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89d22de4e6a6d2a5 |
|
VISUAL
aHash
|
fffcfd7d7e000303 |
|
VISUAL
dHash
|
e2f8f9f9e4d21676 |
|
VISUAL
wHash
|
fffc7c3c3e000303 |
|
VISUAL
colorHash
|
12003c00000 |
|
VISUAL
cropResistant
|
04040c0c200004ea,cddcd8d8d85e6ee6,c9c8b0b088b18e8c,faf9f9e9e4d21676 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.