Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B84256A19404652B121244C5B617EF8B75C393828FB7084467D453A7BEDFAE0DCBF3AA |
|
CONTENT
ssdeep
|
192:jmbzSiS+wQcvgEKOY+Ynum0kNmR3wBWvblhYZKNm3hz3pj0Pm1Z:jmbzSiS+wQe2fhNmVueNm53pjum1Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13971325c4746de |
|
VISUAL
aHash
|
00c3ffffffe7ffff |
|
VISUAL
dHash
|
9e1e410e320f0c00 |
|
VISUAL
wHash
|
00c3ffc30b03273f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9e1e000e120f0c00,0000001010101000,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.