Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108411131240D5A2FA113C6E59AB5B77121CA419BCB4D216CE0ED03794AF5DC6EC3F478 |
|
CONTENT
ssdeep
|
48:lipZk083PN/xINdK/GcKlfZKOm01bfLZ3:mZkXfNpINdKeVlh8wrLZ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66cc33cc339933 |
|
VISUAL
aHash
|
1818080000000018 |
|
VISUAL
dHash
|
3020100000100cb2 |
|
VISUAL
wHash
|
1f1f3f3f00003c3c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
3020100000100cb2 |
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 213 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)