Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A693D8E583B075F94257AFD8DB32BEAE755B30BFBBA28B84827847915683D94E444C00 |
|
CONTENT
ssdeep
|
1536:WXfbX0KElQLfUUZ6lQLfUUQlQLfUUzR4CFf5lOZd+9fFidV5APzb:WEIwIQIBF3iA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d5d5555455555455 |
|
VISUAL
aHash
|
7ee3fffffefcfcf8 |
|
VISUAL
dHash
|
b403000000000000 |
|
VISUAL
wHash
|
7efcf8f0f0e0c0c0 |
|
VISUAL
colorHash
|
070002001c0 |
|
VISUAL
cropResistant
|
b403000000000000 |
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 1705 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 10 other scans for this domain