Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119D3B571F220315E5633D3CA75E2CB8EE223F58CDB32A258EE94912F66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QX3cs6N1ZgJmTU902khneuCRdPv8rkfKxNhBgqP5Mpgl2+Zhu8s2ujDN4h6sGUSC:Wwi2771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a57511135f16d0db |
|
VISUAL
aHash
|
0283fe23a37b1fdd |
|
VISUAL
dHash
|
4e1784664b9673b3 |
|
VISUAL
wHash
|
2c03fc03e16b1fd5 |
|
VISUAL
colorHash
|
07201040002 |
|
VISUAL
cropResistant
|
4e1784664b9673b3 |
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 318 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.
Found 1 other scan for this domain