Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165211121C0014D2D0A135FD5EAA2623CA0ABF35EFDC62C203BD861EE06D9FA8C56A147 |
|
CONTENT
ssdeep
|
12:hR0no8C2Zn8pX8VGu6kXi2OMZdZKET6TQH13qFloJDEJDVgNKDlQ94WsVNIEHHgM:hR0pCPpXoGP5xXE0QNqsNENuyVHYa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999cc6633996666 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2aab2b2b2 |
|
VISUAL
wHash
|
3f3f1f1f18181818 |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
b2b2b2b2aab2b2b2 |
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 26 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.