Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0634422D3531903907BC5D8B073478E2291868DC7534B79A7BD63BAB9CFDB63612398 |
|
CONTENT
ssdeep
|
1536:X5XLzwuXeAe1eAo3r2xn57rYupTOOHeweeed7VvsfHzueQGee9eeeedAeeStUGl/:LS57rYupB4vcTOeB0E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86d6fc6939190cc |
|
VISUAL
aHash
|
c381c3cfe7c7c7c7 |
|
VISUAL
dHash
|
2b2737980f1d9f9f |
|
VISUAL
wHash
|
818181cfc7c7c7c7 |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
2b2737980f1d9f9f,745836f815150d29 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)