Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E03B873400174190223CBEEFC67B565A287518CAB9F5C60B1EF97325586BFCFA0942B |
|
CONTENT
ssdeep
|
768:Xx8wgoghHXie5tBpaCWwH7qIsFsn8cGH9rGMed07rUYZSkfBGklHe9Qs:Xx8wgoghHXie5tBpaCWwH7qIsFsn8cGw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b94966669bb2928e |
|
VISUAL
aHash
|
6bc3dfcfdfc3c3ff |
|
VISUAL
dHash
|
9216101030160628 |
|
VISUAL
wHash
|
7cc01c08d8c0e0dc |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
9216101030160628 |
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 22098 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.