Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118E229B49230D335B1C247E8EA6425287A5FE1DCD7C695B4E388AF51B0D6CECD9260CB |
|
CONTENT
ssdeep
|
384:Y7kUteguuOTEpRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As2gRWOMd:Y7kUteguuJHhhPhleMeDGCSPxeeWmHLW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c53730bc6cbc4b68 |
|
VISUAL
aHash
|
806620b0b8fefef0 |
|
VISUAL
dHash
|
1cdcca437154a481 |
|
VISUAL
wHash
|
802626b0b8feffd0 |
|
VISUAL
colorHash
|
38188000000 |
|
VISUAL
cropResistant
|
7ffefefefefefcfc,0010323232300800,1cdcca437154a481 |
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 74 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.
Pages with identical visual appearance (based on perceptual hash)