Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5429513C2943328169B0165F612C3DFF755819AE32A0FA566BEC13FF8485A48B7B6CD |
|
CONTENT
ssdeep
|
384:NXEoeuH7RXwhSgQoVF6PkKNtTx1wtKJkSGFUE:NXrrZHiXuNTxUKKFr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86d6d92969292c7 |
|
VISUAL
aHash
|
c381c3ffffffffff |
|
VISUAL
dHash
|
13031f383b3e3e27 |
|
VISUAL
wHash
|
818181c7dfc7c7c3 |
|
VISUAL
colorHash
|
0e0020000c0 |
|
VISUAL
cropResistant
|
13031f383b3e3e27,53a4b443c694c401 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.