Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14414B53163581E7DB197C7E8F3A67B7C619EC34AEA5BD418E17C42B513CAC48AD23284 |
|
CONTENT
ssdeep
|
3072:rDwCO5q1FyTC5zFyRb5FF6aL5pdF6zl5WFye+5HF6mEyFy465lFyeXhFyT05qAFI:eDA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce9b312464939bce |
|
VISUAL
aHash
|
04003c3c30003c3c |
|
VISUAL
dHash
|
cc126961a032c4d4 |
|
VISUAL
wHash
|
ff183c3c38187c3c |
|
VISUAL
colorHash
|
380002000c8 |
|
VISUAL
cropResistant
|
cc126961a032c4d4 |
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 26 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.