Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABD26272A1406A3B01E393D9B361672FA2E2C24EDB87061643FDC35D0FD6E44DE2752A |
|
CONTENT
ssdeep
|
384:+oea0ND2b/Uc1o1k11RyGjYR9WRntM67QCzT/qH2Aq+JF7OxIYsOy2+y9BH4cCUl:zea0piDlB72Di7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd39b1e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc8c8cccc0d00 |
|
VISUAL
wHash
|
0cfc60001c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,dcccc8c8c8eccc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.