Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111622C79F22423B18F4243D6FE2633FAE71350AD97222B9CD7584248B3999FD8821DC5 |
|
CONTENT
ssdeep
|
192:QoCoB6CJ54t94ekb8/zOQ6wNSyijlU73Cl6scEku9cuGRmKbMpBXp7sfgg8gk:QRoCMizOVVPjlU73ClhcPsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a55aa75aa55aa |
|
VISUAL
aHash
|
070f1f237f7f7f7e |
|
VISUAL
dHash
|
2c5cd1c3c2c0c1c2 |
|
VISUAL
wHash
|
07030d017f7f7f60 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2c5cd1c3c2c0c1c2 |
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 490 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.