Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD23526191C52C290577B6D4E421FF0A6673E38BE396CC24EAFE025D9FCBC6875064B4 |
|
CONTENT
ssdeep
|
1536:OeL6RYUNnglaZKjbooHnrCTP6AeiqvNQSM1v29dD1eicO5ACV9qT59klfX1J1O1n:OeJfPIbUuMEJr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c38f2a32b8cecae |
|
VISUAL
aHash
|
810c1818027e7e30 |
|
VISUAL
dHash
|
07a83632cee6e4e5 |
|
VISUAL
wHash
|
c31c121a027e7e7f |
|
VISUAL
colorHash
|
30002088000 |
|
VISUAL
cropResistant
|
07a83632cee6e4e5 |
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 8 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.