Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DE229B492309335B1C24BE8DA6425287A5FE1DCD3C695B0F388AF51B0D6CE9D9260CF |
|
CONTENT
ssdeep
|
384:Y7fUWegujTERhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As8SRWCMd:Y7fUWeguKhhPhleMeDGCSPxeeWmHLW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c437391c6fc0783b |
|
VISUAL
aHash
|
8006e0f0f0de7e00 |
|
VISUAL
dHash
|
5c7c8ae3ebb4d4c1 |
|
VISUAL
wHash
|
8006eef0f8de7f20 |
|
VISUAL
colorHash
|
30001008030 |
|
VISUAL
cropResistant
|
e4e048ce8da9b4d0,684bd5f28af45cf4,f8f8e98c9c26ecf8,5c7c8ae3ebb4d4c1 |
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 75 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.