Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106B4AEB4E22852BD484747CDDB727468631E91FFF2D58594A65C85B02BA38E8FA4FCC0 |
|
CONTENT
ssdeep
|
12288:xmycfOo90M37heoHrcwVOBhBxf1Whbv1ifUQjQEt:do1/HrtV8hBxN20UQjQEt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92932d6daf86a8e4 |
|
VISUAL
aHash
|
fb4e6e3c24603001 |
|
VISUAL
dHash
|
23dccce8e886e425 |
|
VISUAL
wHash
|
ff4e6e2c00f27401 |
|
VISUAL
colorHash
|
38001000080 |
|
VISUAL
cropResistant
|
23dccce8e886e425 |
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 249 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.