Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175928339A01B397A85BB47D0BBA65F24225BF77FD2650C14A7BD03918FC7CA0E816760 |
|
CONTENT
ssdeep
|
384:xnubSbAuzuVOZuVOYuVO7Fd5Lfm8LfCQLf0FLfxxNtTzhBeC3cveAknmGzqycyQc:Niu1zuVOZuVOYuVO7Fd5Lfm8LfCQLf09 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c5dc982368833df |
|
VISUAL
aHash
|
181818181f1fd918 |
|
VISUAL
dHash
|
f070323276adb3b0 |
|
VISUAL
wHash
|
3c18181a1f7ffd18 |
|
VISUAL
colorHash
|
38001400050 |
|
VISUAL
cropResistant
|
f070323276adb3b0 |
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 68 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.