Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146D33421C6A41333D205078AD3EB7756639BC1C7CDA2BCF8A1608179DBB9D891C77DA2 |
|
CONTENT
ssdeep
|
3072:BYKJrjylK2E6IOZuagKI3ImJS2QQIYLQICeIkPksuGIyIhuBn1THNm:qKNQ5INf3NFHg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926ab34527 |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
6b22622365e31292 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2b22632365a31292,0020c0c8c0c83040,9696969311531b59,8202020606060606,aecc44132b8a9a4c,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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)