Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10ED3B962B0F34839A47F36F1E2E4730AA597E393C6C267F9E11990B0436666E7C531C6 |
|
CONTENT
ssdeep
|
768:qyK+MwRMrvAnT95sB87kU60On6PYPN6kpa6gIOB8ckU63o96EeeB8DkU6rDA6VX0:DHKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d9f24646879a539 |
|
VISUAL
aHash
|
833e3e3c08220800 |
|
VISUAL
dHash
|
426050581aca5854 |
|
VISUAL
wHash
|
b3fe7e3e083e0824 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
426050581aca5854 |
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 64 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.