Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B7374319050873702EB5AE62B35670722E18744DDA30A8DB7FA47ED1FDBC86CE07699 |
|
CONTENT
ssdeep
|
768:h3PAj+qm83Ax92oBUxT5PZI3oZy30Zs31Zb3AZN3QWM5H1zGhd4m9uXy:h3PC+qm8wxSxTAp9zMjM5H1zGgNXy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d23c63c39a3e64 |
|
VISUAL
aHash
|
4400007e60600001 |
|
VISUAL
dHash
|
ad2238d8c8ca3083 |
|
VISUAL
wHash
|
fc107efe7e602043 |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
ad2238d8c8ca3083 |
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 33 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.