Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5F110F1D150ED3B435382D6E7B66B0BB691C349CB07094593F883ABABCAC60CF21599 |
|
CONTENT
ssdeep
|
192:QCAnbzD715lt8iIGtGyYjbQhZ5wMz9WeEqdxQn:QLnf1ZtGv/QhZCG7Eq8n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19a9b64928e699b |
|
VISUAL
aHash
|
ffffffffc3c3c3ff |
|
VISUAL
dHash
|
080812088e969600 |
|
VISUAL
wHash
|
e7e7e7e700000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
080812088e969600,0080299284617004 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.