Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B3364302345597B425B87E0F7F1AB7891B9E389D62BD86CF3FC01735BC6C885906A68 |
|
CONTENT
ssdeep
|
768:Tk1M7BdLM5QFEuGVKL6Jw3NJt/EiCK1jVVwgWCm2eicYVKJLfG8JzyXvvbbT:9AqZT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc7e77c72303832 |
|
VISUAL
aHash
|
103c18181c180038 |
|
VISUAL
dHash
|
a061f070713260e0 |
|
VISUAL
wHash
|
7e3c3c1c3c18387e |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
a061f070713260e0 |
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 16 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.