Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BD26370A040F93741C3A2D2B6316BABB3E6D38ADB23168522F8C75C4FC3E91DE16516 |
|
CONTENT
ssdeep
|
384:RHgQN5wZv1AxDaXqyOQwrJZSXIC8mk7I2KlBoj9PBxXngZVZaZHn2wy6VdKcXl26:CeKixDZyOQwrJZHInovn2B69Xl2BZe/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961267b49c90bb6b |
|
VISUAL
aHash
|
06003c7c1e1c78f8 |
|
VISUAL
dHash
|
dcc4e9f4b5f5c260 |
|
VISUAL
wHash
|
06002c1c1f1cffff |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
d839ecc4a5252565,dcc4e9f4b5f5c260 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.