Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE325033B600DC2A4D9B958CF6C09689415DD345FB3148CAB2A091FF7BC4CF169A97AD |
|
CONTENT
ssdeep
|
192:HXS3JWC8deN1gyqfJjye+x0wMcnthWeNWbZfMmUU8VCoEB:3/eN1gyqfJG8xfMmUFCoEB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cece133383f8 |
|
VISUAL
aHash
|
3f8f0f0fcfffffff |
|
VISUAL
dHash
|
6018dada98401000 |
|
VISUAL
wHash
|
1c04040407fffdfc |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
6018dada98401000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.