Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C004B630B110510A5733AF46BAD1DF9CEA93F74EC912E5B8E9A2A17F16E0DE54C20C76 |
|
CONTENT
ssdeep
|
1536:OhL3csoMK7aRC99qw48q1ZgmGTf9QQYNtRjVN3yNLhR0x41xVIgl2+Zhu8s2ujDa:8fKh9qR8BOI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc75781d50c4dcd8 |
|
VISUAL
aHash
|
8083df63c79ff3de |
|
VISUAL
dHash
|
3257a5c60d778695 |
|
VISUAL
wHash
|
0083d163c59ff3dc |
|
VISUAL
colorHash
|
07209040001 |
|
VISUAL
cropResistant
|
3257a5c60d778695 |
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 134 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.