Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9F26431A251AD3B44B792E5F3A5632F32E2928AC943134583FC83BD0BFAD94FD26554 |
|
CONTENT
ssdeep
|
768:earxueXcqwxLAQlSAoDV9uvUDZgy4dvaUyzU:keXcqwlT84dS5zU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e397ae3c38a82e83 |
|
VISUAL
aHash
|
8ffe7c6c600061c1 |
|
VISUAL
dHash
|
3748ccdcd803c303 |
|
VISUAL
wHash
|
9ffe7c6c6000f1c1 |
|
VISUAL
colorHash
|
30008008600 |
|
VISUAL
cropResistant
|
3748ccdcd803c303 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.