Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DA1521FF70A73255E820155B9C563EFE73B50D823622BD92CDED16837A629640332D9 |
|
CONTENT
ssdeep
|
96:TKN2jMIuAYcNyPuLz9OOBAf+nt2nYW3dJnlwAJCJmz7xNk:+VpAY6dufXYolwAJS6a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
830fbf0f9c389e0c |
|
VISUAL
aHash
|
1f3f3f7f3f3f3f7f |
|
VISUAL
dHash
|
69c1c5c9e1d5c181 |
|
VISUAL
wHash
|
0f2b007f3f003d3f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
69c1c5c9e1d5c181 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.