Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151C38471A1539C3741A3D2D0E2366B2E61C5E34DCB420926F7FD476AABDAD70FC2A190 |
|
CONTENT
ssdeep
|
1536:ZN7B44xJuEg1AvDWAMqKafW1ByzMeKm1mcorS9BtpfPtKtzNNaOqQZQUQrpEg1AP:DJ/8TdK/Frsf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9f92e61c92681c |
|
VISUAL
aHash
|
fffb99d991f1ffcb |
|
VISUAL
dHash
|
2c32333323030392 |
|
VISUAL
wHash
|
96fb899191f1fb00 |
|
VISUAL
colorHash
|
07010000240 |
|
VISUAL
cropResistant
|
2c32333323030392 |
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 97 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.