Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E78308A43A59F5A65AF3439310DF1503B378162B140D4D606350FCAEB6BCC9BA0A7FDA |
|
CONTENT
ssdeep
|
1536:7TVq53QSoHxh8N6MmbXhjaPnQsR+96duNtVE/:7TjzmN6/btZ96EtVM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c398b8c738653cc7 |
|
VISUAL
aHash
|
3c3c3c0c3c38200d |
|
VISUAL
dHash
|
4879795848484819 |
|
VISUAL
wHash
|
7c3c3c3c3c3c3c0d |
|
VISUAL
colorHash
|
30003000180 |
|
VISUAL
cropResistant
|
4879795848484819 |
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 1857 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.