Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119D3E9F0826435AE42276FC4DB226FAF369B757FEFA38A8443B843915787C94E844C14 |
|
CONTENT
ssdeep
|
1536:BXfbX0KVlQLfUUdXuP7sqWlQLfUUNlQLfUUzR4CFf5lRIEAcO1+9fTirPOx:xVIBINIBF33 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b896c765189c65c7 |
|
VISUAL
aHash
|
feffff8f8f81ffff |
|
VISUAL
dHash
|
9009343c3e12c008 |
|
VISUAL
wHash
|
7effff808080e8e0 |
|
VISUAL
colorHash
|
070000000d0 |
|
VISUAL
cropResistant
|
9009343c3e12c008 |
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 2717 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 10 other scans for this domain