Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12293E8E592B075F94117AFD8DB32BEAE755B30BFFFA28784827847A16683D94D448C00 |
|
CONTENT
ssdeep
|
1536:QXfbX0KQlQLfUU3lQLfUUQlQLfUUzJ4CFf5lzckyFm+9ftidZ5m9b:MQI3IQIpF3z0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d6c76538144dc7 |
|
VISUAL
aHash
|
feffdf8f8f81ffff |
|
VISUAL
dHash
|
d089343c3e32c008 |
|
VISUAL
wHash
|
7effff808080e8e0 |
|
VISUAL
colorHash
|
070000000d0 |
|
VISUAL
cropResistant
|
d089343c3e32c008 |
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 1759 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 1 other scan for this domain