Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B128637B000942D0EE792EEE6C5A1E9959FC25AF73084C6A1E4413FBA81DFCA56136C |
|
CONTENT
ssdeep
|
96:1knZ5VX5KzC6P0aR1sYX6VdLJpo3+1Yx6TSfb/mY65hDC/zJi/fMmORR1E8VConI:02dycx+IhfJi/fMmUU8VCobk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
973a313e303ec5c6 |
|
VISUAL
aHash
|
070f3f1f3f3f3f3f |
|
VISUAL
dHash
|
1c5c6c7c6c6c6ccc |
|
VISUAL
wHash
|
070f070f071f2f2f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
1c5c6c7c6c6c6ccc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.