Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1651343307908343B5233C7D8F775732562A6F387D60A16D8A5AD03744FD3EAAB42B9A4 |
|
CONTENT
ssdeep
|
384:9EIHZTz00Bi0G5nJ+w93ioab0lLNy5JY5fRsHSkBx5+fLOdz5rj0Y9o:9EYTnBBSJ+wle5JY5f2H/BP+fNY9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c692396dc496b6c6 |
|
VISUAL
aHash
|
06647e7e70001800 |
|
VISUAL
dHash
|
d4ccccccc4127060 |
|
VISUAL
wHash
|
6e6e7e7e74183c00 |
|
VISUAL
colorHash
|
38007400000 |
|
VISUAL
cropResistant
|
d4ccccccc4127060 |
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 184 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.