Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11302C823E35A32690F5B03ED796622CFD31B04CCE23A46C669FD962D26D11C04A37DE6 |
|
CONTENT
ssdeep
|
192:/uGP2zwTIqt6i5Un7ncChR7aRSG6QUS+UY1NYG0fAurcLOHCxO1aeON1r:/uQ2zwTIqt6i5U7nNTSUyYgxIVaHqPr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a424c7c3262cdbdb |
|
VISUAL
aHash
|
0303030307ffffff |
|
VISUAL
dHash
|
6696beb696c1ee60 |
|
VISUAL
wHash
|
03030303037f7fff |
|
VISUAL
colorHash
|
17e00008000 |
|
VISUAL
cropResistant
|
6696beb696c1ee60,82aea698b9bcc931,e811888a9a9a9ada |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.