Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A436CE87D11F625AA7782EB50EF2816333E511B640D4960E244FEDA74B446AF05BFCC |
|
CONTENT
ssdeep
|
768:au5E+cqqbmOLYHzYqr34dAYyRUCYN+lDYiWv+M4yTMHeIv6RGz4gKBoUzqH4Je/D:J5zSReuWyTDJdQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99496667d9993626 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
22320cb2b24c3000 |
|
VISUAL
wHash
|
1000889898fec0c0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
c230b2c2e87171aa,22320cb2b24c3000 |
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 97 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 1 other scan for this domain