Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1B2A93660D0263B625B83CDB362BB1ED1D3924DDF990806A2F84B9D97D7ED0AC1741B |
|
CONTENT
ssdeep
|
384:5SFy5NEI82eRA4XCWx/Raz9TsIIIaINuP+6M5juxYti+9RXQkU/gIYsOy2+y9BHB:0Fy5NEE4c9TsIIIaUuW6M5ju4i+9VQk1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c263b93ed6699292 |
|
VISUAL
aHash
|
000020200400ffff |
|
VISUAL
dHash
|
9dc7c1c3ec4c0300 |
|
VISUAL
wHash
|
007170707c04ffff |
|
VISUAL
colorHash
|
31008000603 |
|
VISUAL
cropResistant
|
0000304c4c4c2004,0080800270908000,9dc7c5cbc3cc4c13 |
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.