Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6430B60E7925833017786D492BBCB2A22C1F389DB434A9443FC57F96EEDEA5BC055C8 |
|
CONTENT
ssdeep
|
1536:rqkpl+kyBC9Antzu8hXfWj/FSPAoiuRkyBC9AntzukyBC9Antz:WkyBC9AntCj9TuRkyBC9AntCkyBC9AnV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95e161e169e169e5 |
|
VISUAL
aHash
|
6a7e7e7e7e7e6600 |
|
VISUAL
dHash
|
92ecf8d8d8dccccc |
|
VISUAL
wHash
|
627e3e0e3e7e6600 |
|
VISUAL
colorHash
|
07600400000 |
|
VISUAL
cropResistant
|
92ecf8d8d8dccccc |
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 80 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.