Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0C2A671B090673F02A7C2C97661B71E62E78289EB86190243FD4B6D0FE7E44DE73529 |
|
CONTENT
ssdeep
|
768:GWezH2gzFf32nRTtPR5bI8XvmBrM7sOy2+y9BH4crIe:+2VnPPR5bIoH7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3418432fc3cb4ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c2c8c8cc8c00 |
|
VISUAL
wHash
|
067c3040640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0e0c8c8cc0c |
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.