Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14062F7F16B0450EC76428278FFA4AA9A631E907EE3239454E6CD931985CBCB6CC57784 |
|
CONTENT
ssdeep
|
384:NWEyvZifUmp00RUm06YexXy0HFDOsLknHJUuXP:cdRmd06YarHFS5nHP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9a333392cecc39 |
|
VISUAL
aHash
|
2c1c181818180000 |
|
VISUAL
dHash
|
6950b0b030301000 |
|
VISUAL
wHash
|
3c3c3c3c38381c1c |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
6950b0b030301000 |
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 9603 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.