Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17502E0718004292B975766C526526B1E77F3858FCE823840E5E997CD1FFFE10C86B92B |
|
CONTENT
ssdeep
|
192:T4UmHuXWW1W4WzW2WtKMM5XW1hWlWxWtKMMhZS3j93:0Jum/tSXtFM5m+YEtFMh03V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84bc9696171f1f32 |
|
VISUAL
aHash
|
3cff083c3c3c3c3c |
|
VISUAL
dHash
|
f8f0f0f0f0f0f0f0 |
|
VISUAL
wHash
|
3cff003c3c3c3c3c |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
f8f0f0f0f0f0f0f0 |
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.