Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173E122E1C448DC3B131386E6B7B5275FB596C345CB020E8853F852EA5BDEC60C917A9A |
|
CONTENT
ssdeep
|
96:TkfI7khOlzH0X0eGnVK8yEWwvFieJXsHF6eNX/z/JVKIBQPJ:QfI7khOlzH0XsnFyEh+zdzxVBQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834365b8bc6cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
d8cd14000aa30800 |
|
VISUAL
wHash
|
007effffff300000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a8494a9a4b4e,0020383030080810,4424cbdcd4c9ccd4,a2a3188200000000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)