Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182A43BB063A026BB409B93E5F1316317B297937EEA23D9D9E3DC83565FCAC68CD01194 |
|
CONTENT
ssdeep
|
3072:lApKgJi8RKZtXZeiHPCuuUZs5RwL4ZujVgub5tIZ/rvLfqLLaZtmZeiHPCuu1ZsE:lApKgJi8R+e3r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84359439d26bc6eb |
|
VISUAL
aHash
|
020620000000ffff |
|
VISUAL
dHash
|
dcdcc4e69bb6cbc0 |
|
VISUAL
wHash
|
06067230011fffff |
|
VISUAL
colorHash
|
300c00000c0 |
|
VISUAL
cropResistant
|
4bcbebd048b38084,dcfccce4e7cbb7b7 |
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 29 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.