Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182D2B572B100263F01A7C3C9BB21B75EA3E39689D74A081553FC83AD5BD7D54DE2362A |
|
CONTENT
ssdeep
|
768:U9Szy5Nle1HfyXJqAe07qe68+pVmtueAv7sOy2+y9BH4c1Ie:UG1HoJPDwmtZU7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341c53a963cbcbc |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3c8cd098b00 |
|
VISUAL
wHash
|
64ff70000401ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c1c3e2c8cd890b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)