Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3F145B042046DAE0AE7F9C1E3237E0651EDCA65F21B410D71E85A6C0ED6FF5C9D8725 |
|
CONTENT
ssdeep
|
96:T9Vi3oNHWtFMA49lcoOnapwKilv4h+6kzfXBL0zLyC47F2rf6wZIY8tBx4a5c:BVQoNjPWgM91DsITBze |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6105899e6e6a78d |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
99b96e6c646c000e |
|
VISUAL
wHash
|
0000a7a7bfbfff00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
99b96e6c646c000e |
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 259 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.