Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114A3957161839C374163C2D0E2766B1DA1C9A30DCA120D56F7FD876AAFDAD74FC2A1A0 |
|
CONTENT
ssdeep
|
1536:IuQB44xJnnbhgvrlGMqZ+YnhBy440yuvTcCFaTpf5X0CzNawOqBOQZpXWjnnbhgT:uJUWzs5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3992e556b16829 |
|
VISUAL
aHash
|
ffff8999d1f1fffc |
|
VISUAL
dHash
|
2c323333332303b4 |
|
VISUAL
wHash
|
06bb819191f1f97c |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
2c323333332303b4 |
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 111 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.