Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128F1D1706140593E92CB8BF1F6B26B6A92C5C348C957C35992F9D30E2FCAC92CE95354 |
|
CONTENT
ssdeep
|
96:TUAkJE09+EcXwtm02COfPefPxfPefPxfPvfPefPxfP94Sk:InNwEWaAo1olPo1KSk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c79338c63838c773 |
|
VISUAL
aHash
|
1c7c6c0c70700000 |
|
VISUAL
dHash
|
90c0c8d8c0e41840 |
|
VISUAL
wHash
|
7f7e7c7c7c700080 |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
a0a000968e400002,90c0c8d8c0e41840 |
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 62 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 | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain