Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19491677310101A6F067785D9B9E1FB0991AAC648C9B7894763DD83DA2BD3C31C863368 |
|
CONTENT
ssdeep
|
96:T1Cp8fpojAwpdfpojk46YCxaJ3tlE3VTxnkqI8k+DWu6XE3PI+:MFAwWVntETCGWu6XEQ+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d95b5b5b4342634 |
|
VISUAL
aHash
|
763c001818000000 |
|
VISUAL
dHash
|
96710c3230081000 |
|
VISUAL
wHash
|
6b3f3c3c1c1c0000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
96710c3230081000 |
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 8 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.