Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4C2B83160507E3B42A7D2D9B362B32FA2A7934AD766051192FC836D4BE3D54CE33636 |
|
CONTENT
ssdeep
|
384:MSby5N7PwHfzsIpq8xfMm8Dtm4/C2cLvsH1N4z6dIYsOy2+y9BH4cCUIe:MSby5N7PwHfzEz47+7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12ec3c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40fe6800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,9cccccc8e8c9cc3c |
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.