Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F324D6E62358A7AC9987D68DAF32E5E8A31FD0ACF577D6C0899E83741487CC0F617940 |
|
CONTENT
ssdeep
|
3072:MUHtbT0aaXQY3kmJy5hoAfMQdQmsikEX0Ept0BKFjhbY/fU:VHtbT0aaXXQkEX0EptUKFF+U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b9c6a433338cce |
|
VISUAL
aHash
|
ffff18000018003c |
|
VISUAL
dHash
|
1733332870706169 |
|
VISUAL
wHash
|
ffff3c1800183c3c |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
1733332870706169 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)