Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195412261A118ACA31293D6D877E02F0B3587830ACB13370267FCC39E5AEAD4DED65494 |
|
CONTENT
ssdeep
|
24:hRKCCcASZcmDGguDfEaQybnKlig3Fa6CszOQ6HoFHfeTHzXCVJmKuBILD8wkxHix:TKWhcqGgC9bKkUFa6rF/8XM8CD8HYN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a6989999266666 |
|
VISUAL
aHash
|
ffffe6feece4f8f0 |
|
VISUAL
dHash
|
00304c10084c3000 |
|
VISUAL
wHash
|
fcf8e0f8f8e0e0c0 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
00304c10084c3000,00202804242428c0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)