Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1343255A19404652B121284C5B617EF8B75C393428F7708446BD453E7BEDEAE09CBF3EA |
|
CONTENT
ssdeep
|
192:jmbzSiS+wQcvgEKOY+Ynum0kNmR3wBWvblhYZKNm3hz3pj0Cam1m:jmbzSiS+wQe2fhNmVueNm53pjnam1m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13939365e4e464e |
|
VISUAL
aHash
|
00c3ffffe7e7ffff |
|
VISUAL
dHash
|
9e1e41120f0d2208 |
|
VISUAL
wHash
|
00c3ffc3c0c0fcfc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9e1e00120f0f2208,0000001010101000,a8dc636363ccc823 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)