Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146C20027B184822A4E8748EDEAB8BEA6655D9144F730854229F4C1FFEE31D9CFC2135D |
|
CONTENT
ssdeep
|
768:aa3BXn9CMkRCbvzKDHFVSxb2koRNgk/ZiymUYbxEZy2DMveMZ9u5IA/mNfBUsho:auqnCWvWJBNG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838d3c36967c692 |
|
VISUAL
aHash
|
c9838381c3ffffff |
|
VISUAL
dHash
|
3b3b3f271b203b1a |
|
VISUAL
wHash
|
8181838181dfffcf |
|
VISUAL
colorHash
|
06608010000 |
|
VISUAL
cropResistant
|
3b3b3f271b203b1a,f1fdfcfed3cbce3c |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.