Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199849CB13120D1760FE77981F4563E16BAB2999FEA8F394493EC06AC5FD5EA8C4E0350 |
|
CONTENT
ssdeep
|
1536:7aVjVxVI5qmreQysV3XuveUn1G4Pe1e3PoGekQ7N/2W7QaI/52Cpx6FQOws7OXlR:QwAX9xqqt3pg69GTrw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
853c976a3ac23d2d |
|
VISUAL
aHash
|
007e1a3c00307e3e |
|
VISUAL
dHash
|
8ed6d6cdc5c0c8e8 |
|
VISUAL
wHash
|
027e1a7e00747e7e |
|
VISUAL
colorHash
|
38200048003 |
|
VISUAL
cropResistant
|
e26f531945417170,8ed6d6cdc5c0c8e8 |
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 194 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.