Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A04A630B210510B5733AF86BAD2DF8CE693F74DC512E5B8E9A2A17F56D0EE54C20876 |
|
CONTENT
ssdeep
|
1536:Ohf3csB/V0Img/bP1ZgmLTfLO8QoevwEYVitaKyiQj2f09H/Igl2MZ6u+sMujDNq:s1NX/btoF7771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be7461533c1c5ec1 |
|
VISUAL
aHash
|
44c39d97af9e7fff |
|
VISUAL
dHash
|
b55625254a68caeb |
|
VISUAL
wHash
|
5083f007a7a27fe3 |
|
VISUAL
colorHash
|
07201000002 |
|
VISUAL
cropResistant
|
b55625254a68caeb |
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 133 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.