Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15644F173A0845013E69317D7A2523F9BB6D7830ECA8ECD5AA6F492C77FC5DA0B814934 |
|
CONTENT
ssdeep
|
1536:zYB97Pe3PcsUmGymP3xP31Z/8mgbB5iIBPXzG/KPcURdO8u93n3OpYt9OrijzJMc:zYB97P7Z/8mBIBPJXu9zt9/JM7wH1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a95b9b299a0cae2e |
|
VISUAL
aHash
|
0d4c0000030303ff |
|
VISUAL
dHash
|
d99889968b8b93cf |
|
VISUAL
wHash
|
5f6c4c40436343ff |
|
VISUAL
colorHash
|
30000200180 |
|
VISUAL
cropResistant
|
7b317a7b3bbbb9b8,d99889968b8b93cf |
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 50 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.