Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB82C6B222404ABE96CBC7F9F770B768125DC29ED2738198E2FD42701787C96D827694 |
|
CONTENT
ssdeep
|
384:J1UhOwvP5vxigPYd8+cpUGW0+i0dJt2NjaNcFK:JihO0ZxiOYddhGl+i0dJtkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c3663c3c389b66 |
|
VISUAL
aHash
|
007c7c0c207c3c28 |
|
VISUAL
dHash
|
90c9c958ced0d4d1 |
|
VISUAL
wHash
|
207c7c7c607c3c3d |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
90c9c958ced0d4d1 |
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 12 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.