Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6E36470B2A24EBB51D7C7F1B6A19F6BB189C34ACA538389F2F8C3691BC7C558D40254 |
|
CONTENT
ssdeep
|
3072:HLMeGw6VJqFYNAL7mYCRHWNaZ9GbOKdc6uEdRCCLqBfE/DozNbY:w5JqFYN59GbOKdclEdRCCLqBfdzNbY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9ca377b0c7a299 |
|
VISUAL
aHash
|
ff183c1818203c3d |
|
VISUAL
dHash
|
8cb230b030496879 |
|
VISUAL
wHash
|
ff18be3c18203c3d |
|
VISUAL
colorHash
|
38001200050 |
|
VISUAL
cropResistant
|
8cb230b030496879 |
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 79 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.