Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148B3A7628355153F121F89D570B1AB9B32DBC30DEE13442496FC83667BEBCA0D84ADAD |
|
CONTENT
ssdeep
|
3072:kKgKESKM7K3K5XKoKtKWBAKpK0eTkDIKufZKyKKksWLKKQwRKOKrKXsFBIbjiFei:j+9akvwgMQ5tOd+yIbmFe7ePJT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc56761789a923a9 |
|
VISUAL
aHash
|
0000183c3c180000 |
|
VISUAL
dHash
|
7c4cf03232704ea0 |
|
VISUAL
wHash
|
0038383c3c3c3fff |
|
VISUAL
colorHash
|
07000006000 |
|
VISUAL
cropResistant
|
a2b2a0aebaa2aae4,7c4cf03232704ea0 |
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 165 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.