Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D231C03180C5CDAF4546C7D4CB32771AE2968658D6139A0684FA47AE6B89E7ACC07C45 |
|
CONTENT
ssdeep
|
24:hPCcHLY/u4F0lC9HXHJbq1OHXHJaVMb62DTiry/2DQAJ92l6dT:hHLau4F0lIbG+aVMb66d6QATPdT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8dad624a3c879d0f |
|
VISUAL
aHash
|
10183e1a18183800 |
|
VISUAL
dHash
|
a1f2f23232f0f0cc |
|
VISUAL
wHash
|
187e3f3f187c7c00 |
|
VISUAL
colorHash
|
39600008001 |
|
VISUAL
cropResistant
|
8c96968e8e96869e,a1f2f23232f0f0cc |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)