Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146133CE87D52F552AFB381F2509F184B733D251BA80D9970E250EED934B842DA06BFC9 |
|
CONTENT
ssdeep
|
768:jeNnYuc+HCKkqtJhb6WO4kHl5IpdFW0+X4WX9JH1P0IL8T8hzG:4cWCKvvAmFJ+X4WtQmjG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc666699 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
100c3232b2320c00 |
|
VISUAL
wHash
|
00003c3cfcfcfcfc |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
100c3232b2320c00 |
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 147 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)