Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180242A3033183D7EE59B4799F2E2322662394116FE1F8328B77CE5752A56CCDA427E84 |
|
CONTENT
ssdeep
|
1536:FonmGKi5qA0WbklwFepbklwFii+EKPp+EK2HrjjjjCjjjjwjjjjAjjjjZjjjjb4X:FonmGKQqAMacfPyXjUMAL98n0AjZ/Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e10d3f3c8f2de1 |
|
VISUAL
aHash
|
03eefefec0003c18 |
|
VISUAL
dHash
|
b29cc4949472f8f0 |
|
VISUAL
wHash
|
42eefefec8003c1c |
|
VISUAL
colorHash
|
380060000c0 |
|
VISUAL
cropResistant
|
b29cc4949472f8f0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.