Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DDE124E0C454EC374353C6D5BBB56B0F77A1C345CB020E4853F893AB6BCAC60CA626A9 |
|
CONTENT
ssdeep
|
96:Tk4Y7QzH0XfeGqJZYmRGLF5aXjNHFGmXhCY+/g/8VZ/ZtQJR:Q4Y7QzH0X1qZRGSbChdZtQr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b31ccc4e66b119 |
|
VISUAL
aHash
|
ffffe7ffffff0000 |
|
VISUAL
dHash
|
080c0c0c00000000 |
|
VISUAL
wHash
|
e7c3c3c3dbff0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c0c0c00000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)