Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EC33B70224875BA95F783E2E06B1606727E832FD40F85607378D9E9B7E9C89D563F80 |
|
CONTENT
ssdeep
|
1536:nyzzhnTWihKi4Y0XQfb0Qvv3o2h2wV9IiBvtVPTMn56QKduAtobZ8o:n6TrhKi4Y0X8VMAIGvnAK1toF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
81d16e2e933c6ec3 |
|
VISUAL
aHash
|
0c7e7e7e7e11013e |
|
VISUAL
dHash
|
f4d8d8dcd8e3f7c4 |
|
VISUAL
wHash
|
086e7e7e7e30007e |
|
VISUAL
colorHash
|
080000001c0 |
|
VISUAL
cropResistant
|
f4d8d8dcd8e3f7c4 |
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 288 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.
Pages with identical visual appearance (based on perceptual hash)
Found 2 other scans for this domain