Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170730A637340133A039702F2B69756DAA33AD25CD3513158B5AEC19C23C686EC7BB7E6 |
|
CONTENT
ssdeep
|
1536:FUb95RPnj9gEqXErbrT+M4SEsDJv5iGk8zvle/Rod6huvV0YeyeRscNvYaQExLk:FUbvRPnj9gEqXEh4SE0J8Gk8zvle/Roh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9f766cc89332388 |
|
VISUAL
aHash
|
9900081818000000 |
|
VISUAL
dHash
|
33261a32b20c0001 |
|
VISUAL
wHash
|
bf933c3c1c0c0081 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8058a48696062080,33261a32b20c0001 |
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 253 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.