Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140A4712052730176013BD2C2B5FFAF6990EA6279F9D39668D3AC836D06CEC667E4444F |
|
CONTENT
ssdeep
|
3072:9TzSCmNqLYVrXLLk84q4sRvWo3ikcOgnGuWwtt8ItV4dvMaLzeL6KUdcT8:9dtx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
932436c9c936ce9b |
|
VISUAL
aHash
|
000234007c3c043c |
|
VISUAL
dHash
|
46c4edd0d8d8ecc8 |
|
VISUAL
wHash
|
00227e487c7e3e7e |
|
VISUAL
colorHash
|
30000180001 |
|
VISUAL
cropResistant
|
6565b928683c3978,46c4edd0d8d8ecc8 |
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 139 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.