Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E68394729355063F121B4AD860B02B1B31EFD34DDA17980963FC43A76FDBCA0CD96A69 |
|
CONTENT
ssdeep
|
1536:SES4AmZSWWnDBFEpzWIKj7pCQKOKxF4KdwIKQkKrKRLIKfKGgRK/Ac7CKb7zKlKp:Sg3vKj7pCQKOKxiKdwIKQkKrKRLIKfKg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd56765689a92323 |
|
VISUAL
aHash
|
0000183c3c180000 |
|
VISUAL
dHash
|
6c4c703272704fa0 |
|
VISUAL
wHash
|
041c1c3c3c383fff |
|
VISUAL
colorHash
|
0700000e000 |
|
VISUAL
cropResistant
|
e68ca8aa86aaa2c4,6c4c703272704fa0 |
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 5 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.