Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151532AB1F220609D5233D7CAB9E2DF9DE263B08CDF22D2A4D9A5916E16D1DF24C21C91 |
|
CONTENT
ssdeep
|
768:1DcQ3cse5nWLyGzNRUFKUYbp19ngEwAmBBoH6vJLKzHgh9LAWhf3D10XQIzIhNtA:1X3csA81ZgBmTU9uQltAH6PhWvtX5VIQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcd7c73330c4c531 |
|
VISUAL
aHash
|
feff9bc383fbfffb |
|
VISUAL
dHash
|
4c32222f3b122692 |
|
VISUAL
wHash
|
26df93c181e3836b |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c32222f3b122692 |
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 605 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 4 other scans for this domain