Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CA37710D1002127917307CBF6676B6722E6A649C5B704E23AF847ADAFCBD706F2179E |
|
CONTENT
ssdeep
|
1536:lYY0/pKHO4SQvvODZXeDruQG9X1094cYwxAiI6u7YuP:aDpmxYwxnIF7N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa8d390f161bc683 |
|
VISUAL
aHash
|
0fdffdfcf4c08486 |
|
VISUAL
dHash
|
7936b12c6c28181c |
|
VISUAL
wHash
|
0f9ffdf4f4c08084 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7936b12c6c28181c,ff77773f139b4e27,a363c2c26280c0c0,0000000000000006 |
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 6398 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.