Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11593A4355244193DE65787E0FAA4B379D16EC3DACB6FD44CF2AC01A223C6C499D272E8 |
|
CONTENT
ssdeep
|
768:jldLh9IY8YYaYSewv58+OJROyNci8/NQ+mGZ9jQwRjcLOiZYn+l33AyT6YYQNmLh:825QzZM+t3AyTE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92936c6c3d959696 |
|
VISUAL
aHash
|
000c7e7e2e140000 |
|
VISUAL
dHash
|
96d8ccdcdca8f477 |
|
VISUAL
wHash
|
020c7e7e7e7e1e01 |
|
VISUAL
colorHash
|
30601200000 |
|
VISUAL
cropResistant
|
80a4848ce6f6ecd0,9fcca4f3f994daf5,96d8ccdcdca8f477 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.