Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120E33321C6A41733D20A07CAD3EB765622AAC2C7CD5278E8F170827497BEC8D5D77DA1 |
|
CONTENT
ssdeep
|
3072:IZlELKJrjylK2E6IOZuagKI3ImJS2QQIYLQICeIkPksuGIyIhuBn1Ta7+m:IZlkKNQ5INf3NFo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926a93473c |
|
VISUAL
aHash
|
ffe0000000f1fbfb |
|
VISUAL
dHash
|
2f22624345e31292 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634345e31292,00020d0c0c0c0304,9696969311531b59,8202020606060606,9f8d0d8c8f232260 |
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 85 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)