Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1057372B17416643A21AB53CFD226670EA2C2D3CDCE8A16D563F8C36C5BF9CA4BF52150 |
|
CONTENT
ssdeep
|
768:wn1NB3HnKDvtUkEpcEHT3v+5VulT9ECQdJBQPqbkpAs6p3l2Cd4WPA2:bEpcVVulT9SJBQAhXV49N2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a708fa956389faa1 |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
9be4e7c3c624000f |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
0e206000000 |
|
VISUAL
cropResistant
|
000b031b1b430054,4400400e0e6a0f0c,fce5e767e3cac6c4,3d38b868e3f1f2d2 |
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 955 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