Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F72102721441493B822399D594F1FB2535D7420CC9832494F6FC47ED07FAD84DD2E860 |
|
CONTENT
ssdeep
|
24:hc/siIkU1QZkE8ElA6B66fZr6tciD+6dKl6be0f6cH+:lizZkE8Ea6BDfZGtcm+Vl6bj3+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66cc33cc339933 |
|
VISUAL
aHash
|
1818180000000018 |
|
VISUAL
dHash
|
3020300000100cb2 |
|
VISUAL
wHash
|
f8f8f8f030303c3c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
3020300000100cb2 |
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 4493 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 | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)