Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112E3847022456E3EA1CBC2D5F7723B6952ADC386C617858CF6F483A28B87C58FC67194 |
|
CONTENT
ssdeep
|
1536:OPsIxiRkyXkipRJPwupcKINNNNONNNNKNNNuNNNNWNNNNkNNNGpxk7d:k0XOTvk7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e03d0dfe98f3c2 |
|
VISUAL
aHash
|
bf60e4ec740018be |
|
VISUAL
dHash
|
26c2c98de4a2b250 |
|
VISUAL
wHash
|
ff00f5ec740018fe |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
26c2c98de4a2b250 |
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 117 techniques to evade detection by security scanners and make reverse engineering more difficult.