Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E429570500465AF1A5709A7F2A1BA49D077F38EDE2B8088B3ED42E12FCDD9ADD32549 |
|
CONTENT
ssdeep
|
384:iud2yvJuSf6s0s1mBFUgMs3AFHgsJbB6e0:iud2yvJu4H1uF3dwNC5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8702fcdf1fc0811f |
|
VISUAL
aHash
|
7e2766243d3fffff |
|
VISUAL
dHash
|
e04cccc969400063 |
|
VISUAL
wHash
|
3e2600203c3fffb9 |
|
VISUAL
colorHash
|
07600000002 |
|
VISUAL
cropResistant
|
e04cccc969400063 |
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 198 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.