Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C920D14B218D6A316B7D4D198203FAA31E2F31A810BDA071EED93950FC7D79FE506B6 |
|
CONTENT
ssdeep
|
384:DA0qoECEqEiEzunPAdqK3bip35HADVzX7:DbqonZHQAAdqyMADVzr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1b5be3c0e484a5 |
|
VISUAL
aHash
|
1d081fff9f9fc1ff |
|
VISUAL
dHash
|
5979302078390301 |
|
VISUAL
wHash
|
1d080f1f0f9f00ff |
|
VISUAL
colorHash
|
07001038000 |
|
VISUAL
cropResistant
|
5979302078390301 |
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 43 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.