Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D29436B150263F029382C9BB20F31FA6E2924ADE85095563FC875D4BD7E94DE2342A |
|
CONTENT
ssdeep
|
768:teFy5N5LXifbKPsp6QiJNhlsXv/87sOy2+y9BH4crIe:BXiTKP7J/SM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43e9c0da5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc9c3e3cd8cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
f200c00258d88000,dcc9c1c3c3cd84d0 |
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)