Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136645251F7B310B7116FB2DDC15A1F0EA083C3CBD2F19BF52164422A4AADD486E9B1A7 |
|
CONTENT
ssdeep
|
1536:xm8DXPXrqvFnauUsh9d/QbXNN5+ph/BmbcCjKaFT+TZCaqO98DaGXf7k7l:xwS6vEO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4f238cca9c3a3ce |
|
VISUAL
aHash
|
fec6f0f0f0f0f010 |
|
VISUAL
dHash
|
9494ccc2a6e2e2b6 |
|
VISUAL
wHash
|
fec4f0f0f0f0f012 |
|
VISUAL
colorHash
|
17e00000000 |
|
VISUAL
cropResistant
|
9494ccc2a6e2e2b6 |
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 966 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.