Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E04341329944213B423716CDF06A7B5EE1D3C34ECA4348A0B3EC97D60BD7D90E96E929 |
|
CONTENT
ssdeep
|
1536:RnizO1dzEhtDkqHfqtj3XcdMjBs6NqtpJvhGgBJYmqzDeLrRuAGcIul81CM5r985:Rnv1WOchafOe+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ed692cb42d3932 |
|
VISUAL
aHash
|
337c2c363e18046c |
|
VISUAL
dHash
|
42c8c8ccdcf8cccc |
|
VISUAL
wHash
|
03782c7e7e7c046e |
|
VISUAL
colorHash
|
38000006000 |
|
VISUAL
cropResistant
|
42c8c8ccdcf8cccc |
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 1662 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.