Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD52D9336201183D79378BD8FAEAB33C835FA25EE31685E5E19C137923C5D95E863194 |
|
CONTENT
ssdeep
|
192:Ohgg9TCAXreckEC9KbHmEFHivNGbHRZ74QhBHog:OhNXreckEC4DJH+y3zrv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1d52e5faad1a115 |
|
VISUAL
aHash
|
3c1efefc18c00001 |
|
VISUAL
dHash
|
70629e9120111001 |
|
VISUAL
wHash
|
3f3f7efc7cc00001 |
|
VISUAL
colorHash
|
38000010080 |
|
VISUAL
cropResistant
|
70629e9120111001 |
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 36 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.