Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D41334B4C2508D3B00EFE1C6D730AB5B72E191DADAA7470613FC87695F9BD84EC025A9 |
|
CONTENT
ssdeep
|
768:Mo85NVMGAzbZzMvz+1zz8vzeCzxi72zCa3zCvwbib4lTaHSQMwFUcdL4cuHKycvK:M3HMyYn/kE50eneaK0a9mLvx0YfqwuSO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4d561646714d4d |
|
VISUAL
aHash
|
00fbfbfbff8fc3ff |
|
VISUAL
dHash
|
4d121212603f1b23 |
|
VISUAL
wHash
|
008bfbebff0100f9 |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
0000000000000000,1412121a283f1b23,0003434b4b430300 |
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 40 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.