Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5E143E0D414EC375353C6D5B7B56B1F3695C345CB020E4853F893AB5BCAC60CA229E9 |
|
CONTENT
ssdeep
|
96:Tkvxb7QzH0XfeGn2DSaEJGLFGaXyHFSnkVX7CY+/JiVDBZjQPJ:Qvxb7QzH0X1nWEJGcYkhCh8tjQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3b31c8c4eb29919 |
|
VISUAL
aHash
|
ffffe7e7ffff0000 |
|
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)