Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15D04B6B9310447EF430747D0F7F7EF2A63286284CA974299A7B48366ABADC54ED33185 |
|
CONTENT
ssdeep
|
3072:XlbJMDck/iXeBQiy980jUpQ5V7uDJ9EEMRqzrNlziZgqmSOTOtIXdIkQEqjIjcR7:VTUNkogb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6194bce99626a33 |
|
VISUAL
aHash
|
017e46e7e7f7e7e7 |
|
VISUAL
dHash
|
598e8ccc8c0d4d0e |
|
VISUAL
wHash
|
00664266e7e7e7c3 |
|
VISUAL
colorHash
|
07008c00000 |
|
VISUAL
cropResistant
|
598e8ccc8c0d4d0e |
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 954 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