Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9C3A3305216663F23170AB4B1B0AB99B1DEF34ECA1B895963FC91D36FDECC04D61689 |
|
CONTENT
ssdeep
|
3072:IyFtz+IKaN4anja91aluzSaddwShrw9gE3i2OJfZozqmcr0:UdwShI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8955a8b554ab57aa |
|
VISUAL
aHash
|
4618181818191b19 |
|
VISUAL
dHash
|
96327071706b3331 |
|
VISUAL
wHash
|
ff38383c3c1c1b19 |
|
VISUAL
colorHash
|
38040007000 |
|
VISUAL
cropResistant
|
8008806d2d840080,96327071706b3331 |
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 478 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.