Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BD33B30224875BA95E783E2F0672716727E432EC40F85A07378D9E9B7E9C99D563F80 |
|
CONTENT
ssdeep
|
1536:8VizzhnVYsh98XLlXQfb0Qvv3o2h2wV9IiBvtVPTMn56QKduAtobZ8o:8QVXh98X5X8VMAIGvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81d16cb79c6e91e1 |
|
VISUAL
aHash
|
006c7e3e7e6e3100 |
|
VISUAL
dHash
|
d4c8d2f8dcd8e7f2 |
|
VISUAL
wHash
|
086e7a3e7e7e3006 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
d4c8d2f8dcd8e7f2 |
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 213 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 2 other scans for this domain