Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4532AB1F120609D5233D7CAB9E3DF9DE263B48CDF22D2A4D9A5916E2AD1DF20C11C91 |
|
CONTENT
ssdeep
|
768:2nOQ3cfw0+MoyGzNRUFKUYbp19ngEwAmBBoH6vJLCzHSh9LAtuhf1D10XQIzIhNi:2J3cf4l1ZgBWTORkQltAH6PhWvtX5VIQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc96c73530c7c532 |
|
VISUAL
aHash
|
fe9f9bc383f3fbfb |
|
VISUAL
dHash
|
2c33232b1f172693 |
|
VISUAL
wHash
|
269f99c183e383f1 |
|
VISUAL
colorHash
|
07000000c03 |
|
VISUAL
cropResistant
|
2c33232b1f172693 |
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 669 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.
Found 3 other scans for this domain