Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C43C70A0102D7B01DB83D4F7B46707B3E4E349E50A41929BE8DF982FD6E60EE1A95D |
|
CONTENT
ssdeep
|
6144:k45qteMw12hSpKXyZyLVz/LzVqiw5Du9C1VB1A04yu5M:k45qteMw12hSMXyZyLVz/XVqiGv1pEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c2c6c4c43b3a3d |
|
VISUAL
aHash
|
ffff8d8f8f8f8fff |
|
VISUAL
dHash
|
6d1c19393a393b33 |
|
VISUAL
wHash
|
adff8889888f898d |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
6d1c19393a393b33,f0a4ea4ccdad2c2e,9b8399698bcb1194,8ef0ccccecd5d514 |
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 974 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.