Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169240AF0D384567F93239BCCF13067D5B257A19ACF024988A3ED5AE96BA1CE84C37854 |
|
CONTENT
ssdeep
|
1536:EzwxIGoDVRbdb4f58kCDjQwXXX2XLXXXXIzFQKJH77h68qUv9oUEAmn56XXXXXXj:mXQGB9BUR1RHPZW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a94cd53a55f63a50 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
dcc3f767f35f0c0e |
|
VISUAL
wHash
|
0031110103ffffff |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
c3d3f773f35f0c0e,cc3451d89614185c,b24f99b172443983,6c2493b32d6ddb7d,b4c7c3f7e733f3ff |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.