Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125A329FD022116BEC013C3D2FA217266A18E937EDE879608E35C53A73BD6C96DC156D8 |
|
CONTENT
ssdeep
|
1536:pZ2K0YtKZ2K0YtTyPjw0FoALmrYJoLBJcLEJdLLJPLZJpLyJrLYJ1LaAvygJ2LA:F2sMZN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c76d3d393036b6 |
|
VISUAL
aHash
|
4670766630004040 |
|
VISUAL
dHash
|
96c4ccdce0a89888 |
|
VISUAL
wHash
|
667e7e7e7c444440 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
96c4ccdce0a89888 |
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 123 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.