Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0C2B831A1002B3B51D792D5B3B1A33FA2E7824AEB46051552FD83AD4EF7D94DE3321A |
|
CONTENT
ssdeep
|
768:5Sby5NiarPpQFG6bHuft7sZ1WptaEUqU6VQZe36YPa6QjLJ7sOy2+y9BH4c1Ie:KGPpQFG6bHuft7sZ1WptaEUqU6VQZe3W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d26cfc12cd3892e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccccc0c8cc3c00 |
|
VISUAL
wHash
|
00fe6020206effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51458d0d715596,1080800458988000,9cccc4c8c0c9cc3c |
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.