Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157936371A1839C378563C2D0E2766B1DA1C5A30DCA020D66F7FD876A9FDAD74FC291A0 |
|
CONTENT
ssdeep
|
1536:jSsB44xJbITPGvJ7cM7Y8cEmBy41on0dSHcDNxBEJpfc/iozNOqg/vjQZR/hITPH:TJWX/sf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed3992668e926c39 |
|
VISUAL
aHash
|
fffb899191f1ffff |
|
VISUAL
dHash
|
2c323333232303b6 |
|
VISUAL
wHash
|
02bb819191f1f97e |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
2c323333232303b6 |
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 142 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)