Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12762833152C91E3EB01387D5EA75B73960AED34BE60B940CF1BC01B6A7CBD85AC63694 |
|
CONTENT
ssdeep
|
192:N4BxSOpu6m2G+vqE8c6UVPagmS8e8b3Pj9OjB4zWxZwV:WLSOpvm2GSqtc6UkxSDi3PZy4axZwV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2482697b39de6c8 |
|
VISUAL
aHash
|
0000f9ffffe7ffe7 |
|
VISUAL
dHash
|
1a82c3104d4d284d |
|
VISUAL
wHash
|
000060e8ece4f8e0 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
00000c0c0408008e,c33458484d2a4c4d,929ab6b2b21ece81 |
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 4 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 10 other scans for this domain