Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C1213F2E051D936076381C1B6B67BAF77E2C248CF421A6413F803AE67CEE9199114DD |
|
CONTENT
ssdeep
|
192:2twP89z8hhZf/BncNAZu9ZNg6ZN5ZcvL8U8F:2twPWKZfZncWZ4ZpZDZCN8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b97986c60578837b |
|
VISUAL
aHash
|
ffffc3c3c3ffc37f |
|
VISUAL
dHash
|
0c1a9a96962e0ec0 |
|
VISUAL
wHash
|
81c3c3c3c3c3c33f |
|
VISUAL
colorHash
|
06680000000 |
|
VISUAL
cropResistant
|
0c1a9a96962e0ec0,7fadbcffffafcfff,4909414119610101,939b333333333323 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.