Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2C23365754028BE403FD7E5FBB1FF247292F747C62A4059CB9C42848FE3DA8A623562 |
|
CONTENT
ssdeep
|
384:s2VHPaEU9XU+UcfJ7qpRyXqketO/pZ18O:tyEU9XU+UGERyVpZ18O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d8da3a9a9a9a3a9 |
|
VISUAL
aHash
|
1b18181818000000 |
|
VISUAL
dHash
|
3330323232100000 |
|
VISUAL
wHash
|
9b1b18181c0c0c0c |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
82252d0de2c8c030,3330323232100000 |
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 115 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.