Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15573B82038106433A6E307D7FA502D19F3BBE31DCAB555DA5890A7608FE7EB0B90E197 |
|
CONTENT
ssdeep
|
1536:7W+U9yQMyQG21jN8KAq5aTEcu93ABGQkz:YgQMyQGjzE3xz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3c34cb94864bb4 |
|
VISUAL
aHash
|
000000fffff9ffff |
|
VISUAL
dHash
|
2b3337d42b2b2f0c |
|
VISUAL
wHash
|
00000030fff9ffff |
|
VISUAL
colorHash
|
073c0000000 |
|
VISUAL
cropResistant
|
53242b2b2b2c0d0c,2be43333333bc4d4 |
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 97 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.