Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9D2A7327010263F129383C97761F71EA2E79289DB89090663FC879E5BD7F50DE2356A |
|
CONTENT
ssdeep
|
768:1eFy5Ng2zinqMh8PsHEZ2ezCJ/mp7sOy2+y9BH4crIe:xziqMhTEZZdp7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43e9c0db1c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc9c3e3cd2cd300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dcc9c9c3e3ed0cd2 |
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)