Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4420E71A144016712B39AC4E9B0BF5AB2F3F30FD40D8455AAE801D66FD7EF9B4AA470 |
|
CONTENT
ssdeep
|
384:Ngtx5yAzNlcgWgj1EaPIgFgIF5FsFlMSr:Ngtx5yAzNlcgNj1EkdbklMSr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccccccc66666666 |
|
VISUAL
aHash
|
181c181018181818 |
|
VISUAL
dHash
|
b2b2323032323232 |
|
VISUAL
wHash
|
1c3c3c383c3c3c3c |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
90f8c8b061a813d1,b2b2323032323232 |
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 51 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.