Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F433170D500783B42378AC8B1719B8FA1E6A31ECE138491B3FA97D5A7DEDB09412D97 |
|
CONTENT
ssdeep
|
1536:8RoR6QQ7lD0pE7GmgtYcbnz8pITdUQpQHQ4WoM7sB5bM:8qF6+hewfoM7SI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c93432ddac4738cd |
|
VISUAL
aHash
|
0608181818183819 |
|
VISUAL
dHash
|
5430b372f2b16061 |
|
VISUAL
wHash
|
9f9858383a7c3c39 |
|
VISUAL
colorHash
|
38000408009 |
|
VISUAL
cropResistant
|
5430b372f2b16061 |
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 30 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.