Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7815370C040783B4393A6C5F2EA9B1BB3F1C286DB56544931F843ED2FDAF50E95858A |
|
CONTENT
ssdeep
|
96:GKyUZsRUujSTFujSTIUtPWtW0aX81aL02:GKZZsRduAukUItWOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999999933666ccc |
|
VISUAL
aHash
|
1818180000000000 |
|
VISUAL
dHash
|
b2b2b20c20000000 |
|
VISUAL
wHash
|
3f3f3f3f00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
b2b2b20c20000000 |
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 65 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.