Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F5329B1F220609D5233D7CAB9E3DF9DE263B48CDF22D2A4D9A5916E26D1DF20C11C91 |
|
CONTENT
ssdeep
|
768:yncQ3cfOBkGyGzNRUFKUYbp19ngEwAmBBoH6vJLGzHUh9LAWhfAD10XQIzIhNtal:yL3cfSr1ZgByTg9/QltAH6PhWvtX5VIQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9d7c63531c5c432 |
|
VISUAL
aHash
|
fe9fffcb83d3fbfb |
|
VISUAL
dHash
|
6c33231b1b372693 |
|
VISUAL
wHash
|
269f998183f383f1 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
6c33231b1b372693 |
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 519 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 6 other scans for this domain