Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF32C5212040693F2A3B8FD4F5D4F14BD65EF11DCA6B85B8E19C02AE36E6FE0C55B921 |
|
CONTENT
ssdeep
|
192:aGOMykhYsQoY5l0j/3SYb5H8iQXrqXwYzg21YjcH+uy:lOkRQoYvM3SYdc5XWXwYz7Y5B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92466c966d656d6c |
|
VISUAL
aHash
|
0e0e0e0e0e0e0e0e |
|
VISUAL
dHash
|
dcdcdcdcdcdcfcfc |
|
VISUAL
wHash
|
0e0e0f2f2f0f0f0f |
|
VISUAL
colorHash
|
030011c0000 |
|
VISUAL
cropResistant
|
b380558680c08080,dcdcdcdcdcdcfcfc |
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 56 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.