Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4835221E085AE3B80CB45DA8572577632F5435EC72717C8BAF54BEF2F8AC64EA23045 |
|
CONTENT
ssdeep
|
1536:0sIxjgBfxTDNOXGnt2TGgt2TGxQet2GNmt2GNbMhMl7Q:0PsCoMhMl7Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95b46abd85a5b134 |
|
VISUAL
aHash
|
4200667f7f0b0060 |
|
VISUAL
dHash
|
b631cad2d212d4c5 |
|
VISUAL
wHash
|
c3107e7f7f1f0060 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
b631cad2d212d4c5 |
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 42 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.