Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18683C574505694778157B2D4A33E5B2A73E2A2C4CE43039993F8C39CAFD7CA4EC271A9 |
|
CONTENT
ssdeep
|
1536:PKCBuuodnJegOyUgUy1HMStDrmjlF0GFzKj4i6WUh9wLbeihPodpKkpDsdWUMUvJ:RA6YodpKkpDsdWUMUvtdv0eEm7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e916f126788cdaa5 |
|
VISUAL
aHash
|
00207c98c0c1fbdb |
|
VISUAL
dHash
|
984870320a239292 |
|
VISUAL
wHash
|
4040fcd8c2f3fbd8 |
|
VISUAL
colorHash
|
38001018080 |
|
VISUAL
cropResistant
|
005508343032300c,984870320a239292 |
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 21 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.