Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5939336E2591637027308C6A37657E972E7820DEB130D10A6FC93AC1BDDD41AA3769F |
|
CONTENT
ssdeep
|
1536:IUsnjlci/WmSJUbMooehJN86+4Yzb7SyW9XkkSbCrJRxqrImsr4r+83RrzJNPoOI:IUsnjTBo54I2dJXH83RrzJNPoOiijv1M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92e24d3d2c68a7cd |
|
VISUAL
aHash
|
026c64650e0e183a |
|
VISUAL
dHash
|
bec9cddddc1c31f2 |
|
VISUAL
wHash
|
466c6d6f0e0e187e |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
a282259696b2a6a2,bec9cddddc1c31f2 |
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 228480 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.