Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA294339150293B5253C3CDB321B72DE1D7A28DC79A191962FC479E8BD2EA0DD1342E |
|
CONTENT
ssdeep
|
384:+ACy5N/7yVzZ/NpIZ4jDm4gIIIRPWpnbs/UGYBjy6IQx3SUeZeqncn9RIYsOy2+o:9Cy5N/7QzjDm4gIIIZWpnbs/UGMjy6IY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
820dbc32f169d6c7 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
9ff7c3d3cd6d1300 |
|
VISUAL
wHash
|
00333178200fffff |
|
VISUAL
colorHash
|
39c00010000 |
|
VISUAL
cropResistant
|
ffbfedd5f1ffffff,0080801858808000,8fd7c3c3d3cd4d13 |
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.