Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B37175B46094A9375293B0C9E7762B86B2C0C602CFC7074552FCC3BD2FEAD55EC66692 |
|
CONTENT
ssdeep
|
48:eVVlK2lzDTBOnGfhvsEiiREqItKqF/Lbsour54i6ITg7nrE1:+lKQZfE3KqF3Zi7z87nrE1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14e1b664f194e33 |
|
VISUAL
aHash
|
00e7c3c3c3c3c3ff |
|
VISUAL
dHash
|
6196969696869e9e |
|
VISUAL
wHash
|
00c3c3c3c3c3c3ff |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
6196969696869e9e |
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 1884 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.