Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE2947172281EBE5247C7B0F3647B3C519DD389E63B911CE5B941B42B82E4CEC1B698 |
|
CONTENT
ssdeep
|
384:DtPuWUQeLfjn8l7HmasYnasG+asDPXeShIkBVq5gU6HJom0iqVQhUTXCUbX2iUoD:cJjnWp9BjtQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b10f39c5e49163 |
|
VISUAL
aHash
|
7a00767666080030 |
|
VISUAL
dHash
|
d6a1c4c4cc386461 |
|
VISUAL
wHash
|
7b387e7e7e0e0030 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
d6a1c4c4cc386461 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.