Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC72D62875409A3F15234BD8F5E1E31D109AE309D927C9BAA3ED02E77BC2DE4CA33565 |
|
CONTENT
ssdeep
|
384:jMldLFbIXmXpZ3BIwuFqYfY2dlFvwO9mJRvPhkrPb:AdLxIXmXT3Bj6qYfY4E/vPhkrPb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc93647c9bc31e2c |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
a42521c12124a425 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
06002600010 |
|
VISUAL
cropResistant
|
720a9eb296866202,0004848646e16c4c |
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 11 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.