Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F531AB1F220709D5673C7CAB9A2DF5DE263B48CDF22D294DEA5912E2AD1DF24C11C81 |
|
CONTENT
ssdeep
|
768:1DcQ3csuXLyGzNRUFKUYbp19ngEwAmBnoH6vJLKzHgh9LAWhf3D10XQIzIhNtami:1X3cs21Zg/mTU9uQltAH6PhWvtX5VIQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d7c73130c6c731 |
|
VISUAL
aHash
|
feff9bc387fbfffb |
|
VISUAL
dHash
|
6c32232f1b022693 |
|
VISUAL
wHash
|
06df9bc181e3836b |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
6c32232f1b022693 |
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 600 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.
Pages with identical visual appearance (based on perceptual hash)
Found 2 other scans for this domain