Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17532A62144365DBA622718C474906B7D6187C30DCBB275F0F3B887E95BEADB0CD229AC |
|
CONTENT
ssdeep
|
192:48uyeuGusnDc1T5sXh8tCzMzouhYc9z58bKF0lFke0T3KhH6KHmF/NqZNFNf:huyeuGusnDc1eXh8tCzqo29zCbE0lFk8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
803b3b3b3bf8c4c4 |
|
VISUAL
aHash
|
0f0f7f7f7f7f7f7f |
|
VISUAL
dHash
|
5bdb85bbcb9ab8f8 |
|
VISUAL
wHash
|
090b1f59291f1f1f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
5bdb85b3dbd2f8d0,08d884cbd8b4d4ba |
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 795 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.