Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D3B77803451A3E611B87E1F6E4AB6DA2BEC389EF575C0CF77C41A227C6CD4D8A6190 |
|
CONTENT
ssdeep
|
1536:+xAzLGc0yV5+MLXduLfJVvdlgQlhFWVE5KSFlro3Iy8z+9m3FXqTcY7fmM0VUSO4:+WC+AttOo1whhZMjqZwcM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f1946dc96d62c1 |
|
VISUAL
aHash
|
226e7e6868003c7e |
|
VISUAL
dHash
|
c6dcccc8d8a2d4d5 |
|
VISUAL
wHash
|
626e7e7c68003c7e |
|
VISUAL
colorHash
|
30007000200 |
|
VISUAL
cropResistant
|
c6dcccc8d8a2d4d5 |
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 513 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.