Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B563D6D07240387E0D93CA84BE00F579E20EF2E8EB76C45471AD527596E2F97F5728A8 |
|
CONTENT
ssdeep
|
1536:WxbrKuf4CYgZ8AJLkOIeDRsRZhb2DCf4CYgZ8AJLkl:2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
897986662666aed9 |
|
VISUAL
aHash
|
20181818083c3c3d |
|
VISUAL
dHash
|
c5d2d2e1d0e0e0e1 |
|
VISUAL
wHash
|
79787c1c183c3c3d |
|
VISUAL
colorHash
|
16600030000 |
|
VISUAL
cropResistant
|
f0f0c6868786d6d0,c5d2d2e1d0e0e0e1 |
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 47 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.
Pages with identical visual appearance (based on perceptual hash)