Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADA33AB03A58F5616AB38393209F150B7274562B540E4D60B750FCAEB5EECEB6063FC9 |
|
CONTENT
ssdeep
|
1536:LXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKduAtobZ8o:LX8VMAIGvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36938c6c5399ec6 |
|
VISUAL
aHash
|
2020000c7c3e2c3c |
|
VISUAL
dHash
|
c4c0d8d8c4d8d8c0 |
|
VISUAL
wHash
|
6260347c7e3e3c3c |
|
VISUAL
colorHash
|
38001200c00 |
|
VISUAL
cropResistant
|
08300c4d4c300400,c4c0d8d8c4d8d8c0 |
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 180 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.