Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E931F21D1B2863160FF77CDE266BB1A96A3DB0BCECA2BF555C4C3494BD2C45AC47248 |
|
CONTENT
ssdeep
|
1536:W+ELujG/2nc4oI9rwO/8bqhocckdxHXtzaqS3KqhtzchiZQzpepuW:WWk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b125c68e399b9e32 |
|
VISUAL
aHash
|
c3c3c3c3c3ffffe7 |
|
VISUAL
dHash
|
8e0e9e9e9e104c4d |
|
VISUAL
wHash
|
00c3c3c3c3cfe7c3 |
|
VISUAL
colorHash
|
06400018001 |
|
VISUAL
cropResistant
|
8e0e9e9e9e104c4d,0d0b1b5e543a586c |
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 5 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 3 other scans for this domain