Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B3221A1C142C6B3205696D4B2223FAA35D043CAD793595C96FC4FE8AEE4C44ED3BC76 |
|
CONTENT
ssdeep
|
192:X9nVYTag2PdB2m7P1oNfltKioNfltKk51r2uxwMvBMxK5x:xVYWgu7dSpl+plx51r2i/vXH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b24798c972cc3676 |
|
VISUAL
aHash
|
ffc30200e7ffffc7 |
|
VISUAL
dHash
|
d04c4c0d4e4c149e |
|
VISUAL
wHash
|
fe000200a2ffffc7 |
|
VISUAL
colorHash
|
061c0000000 |
|
VISUAL
cropResistant
|
d04c4c0d4e4c149e |
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 62 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.