Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE152AF6536C63F756470BE9B032224A71B730FEBE52CE50D2E9CAD25756CC8882AC51 |
|
CONTENT
ssdeep
|
6144:qxOgx9Qx9sr+ouGOSx9Qx9Qx9Qx9Qx9Qx9y:qkgvQvIBpvQvQvQvQvQvy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1444c93dbcc7335 |
|
VISUAL
aHash
|
98c0c3ffe7ef9bc3 |
|
VISUAL
dHash
|
299696e4cdc9372b |
|
VISUAL
wHash
|
0000c3e7e7ef8bcb |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
299696e4cdc9372b |
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 2568 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