Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B033A34E3604A7DD06383EAEB50636E200396CEF6A68964E71D476671C3CEE74722CD |
|
CONTENT
ssdeep
|
768:OkIFu7zDPkYpQeQhCnNJH6f+d6muLfVz32F8Ra:9WDhCnN5ShmuL+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f59a6560d7619265 |
|
VISUAL
aHash
|
fedfdfffffc3c3c3 |
|
VISUAL
dHash
|
e096162224969696 |
|
VISUAL
wHash
|
7e03cfd2c2c3c3c2 |
|
VISUAL
colorHash
|
07200008280 |
|
VISUAL
cropResistant
|
e096162224969696,dada622a31981a5a |
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 199 techniques to evade detection by security scanners and make reverse engineering more difficult.