Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D31274D211FC77015361E0267A5F5AF6E08204CF638B0963F98B59AEF9C85EC35AB8 |
|
CONTENT
ssdeep
|
3072:0CQFheWPLYE9jVoiZfm4fJ3hDfzys/x17V:+y0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
841e331fe8636fc4 |
|
VISUAL
aHash
|
001f77f058106667 |
|
VISUAL
dHash
|
2734e5a5b162ca8c |
|
VISUAL
wHash
|
801f777d59106667 |
|
VISUAL
colorHash
|
31402000040 |
|
VISUAL
cropResistant
|
2734e5a5b162ca8c |
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 48 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.