Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12182C8313344ACAB72D3C298F330E76EB28AC295D6571A98D3ED036555DFCA6CC23295 |
|
CONTENT
ssdeep
|
384:JyUHa5NXZvnXkH6EnsVa1xmc9JdoT6W9qwYZ5um:Jy/P9V3/H9Sum |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99ae26992726b92d |
|
VISUAL
aHash
|
833c1824181c0000 |
|
VISUAL
dHash
|
6b70554872706810 |
|
VISUAL
wHash
|
8f3c3c3c3c3c3c1c |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
6b70554872706810 |
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 79 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.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|