Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11232B82120001D3F6D374E95F6D4F1469A4EF35CCAA694BCF19A116E39E2EE0C16BA32 |
|
CONTENT
ssdeep
|
192:tM6B3N4vWMy67nkCqDZQXfX/MXawTFwdYdiyqNu:28kv1laQPXkXawTFwdY4Nu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5333cc8c7399dc |
|
VISUAL
aHash
|
3c00181818180307 |
|
VISUAL
dHash
|
e06030323232061f |
|
VISUAL
wHash
|
ff7e1818181b0f0f |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
e06030323232061f |
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 22 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.