Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FA3FD38B1063C16647795D0F0946F993282EB3AC3548E68E3F527662FCBDF468A4378 |
|
CONTENT
ssdeep
|
1536:LFtBg6MjejRjFjnf6Mru0FZC+/oS5PX5XOPOyzPpEyb57SAXm+IFL6LbhYKRiGfF:dMaNBYQ9M5GltW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f722669988dd8876 |
|
VISUAL
aHash
|
e7e7e7ffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d0c0c0c4c4d |
|
VISUAL
wHash
|
e0e0e0e0e0e0e2e3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d4d4d0c0c0c4c4d,e9e10200402aaaf4,64a4a4a4e498a8aa |
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 524 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.