Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B07343113D0CAEA7ED338DD1F4122E07E352E30EAAA984D7659D418A5EC7CF0796E474 |
|
CONTENT
ssdeep
|
1536:A0HkL/QobcFV987wU6p4ZV5NQuw9MiAoqIPSsV6n9gVKK2fL06847UUyGOzIav+C:e8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e07030a69b7a6f1b |
|
VISUAL
aHash
|
434300c0fff70000 |
|
VISUAL
dHash
|
8686110545478655 |
|
VISUAL
wHash
|
4343c0f0fff77600 |
|
VISUAL
colorHash
|
02000000e00 |
|
VISUAL
cropResistant
|
a280801a3a80a0a2,a292642d1b338ca2,323b692dcd8d3557,29a5424b654dc687,8186968669921000,e54b45c686b05555 |
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 69 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.