Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CB34D743718B57A5AF343E3A0DB2216B23C961BD50F4C24B354D8AA73A9C4EA067FD4 |
|
CONTENT
ssdeep
|
1536:KF1/HfPITVq53QlHxh8N6g8XXhjaPnQWT+9TluJOphc:s/HfPITj/mN6ZXt19TUOp6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dadb606460d9dad2 |
|
VISUAL
aHash
|
40003c3c3c3c0000 |
|
VISUAL
dHash
|
8c7069f0e0684800 |
|
VISUAL
wHash
|
463c3c7e7e3e3c00 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
8c7069f0e0684800 |
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 236 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.