Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19273843041911F3EA51B87E8F5B573681295CB4CDFBB81199AEF03B39BCBC51E922198 |
|
CONTENT
ssdeep
|
768:iQqNAnc1XkX0cey+kww0wgAAWcS6GYuTcvK+R+qF8nKqjSkaNcFD+6/XIid:bc1X3jGXnKqjSkgcx+6/Xd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd93031cec7e333 |
|
VISUAL
aHash
|
18183c3c1c1c003c |
|
VISUAL
dHash
|
f0f0f070f1f17165 |
|
VISUAL
wHash
|
783c3c3c3c3c1c3d |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
f0f0f070f1f17165 |
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 189678 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.