Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11831122618138ADB4B03ACF4BAC4958450CBD708DDD38A0466F707953BE5EC29B659E6 |
|
CONTENT
ssdeep
|
24:hRx+tYCrgfsRE0wbdR8qynmd45+CgnRk2NiO3MvKUiWS8uzODja:Tx+tkDbsn7+Ct24O8vxidyDja |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da4d6c25acdd3 |
|
VISUAL
aHash
|
5f031a006e324677 |
|
VISUAL
dHash
|
b626b6b0cce68cd5 |
|
VISUAL
wHash
|
5f0302786e326777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
b626b6b0cce68cd5 |
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 24 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.