Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158415D7200402D7F83039ECAF4457F5820C3D25BDE17191A62FC89AE4BFAFBAC821665 |
|
CONTENT
ssdeep
|
48:TR1YHcsCQB6hkZmTvF/Z4XxZejKv58ugWuUa:TRfQ6hk+ZY8jLWK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a1e6565651c3c67 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
0241717140000000 |
|
VISUAL
wHash
|
003c3c3c0f0f0f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6161b17102000000,0000000020208000 |
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 8366 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.