Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18703413112442E3EA657CBA8F2F0B328916DD399D67BCA59F6ED017217C2D15C8372D8 |
|
CONTENT
ssdeep
|
768:yP4HpIokn654A7tw37hCNtUAMQkHWakd9JgtwLWuTcDdQ5/p8MgjuSozKiWIxfau:kMPByu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9f3135246db393 |
|
VISUAL
aHash
|
033c3c1818001818 |
|
VISUAL
dHash
|
167169b0614832b1 |
|
VISUAL
wHash
|
ffbe3c183c00187d |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
800014370b230080,167169b0614832b1 |
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 8 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.