Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173D34521CAA41733D20A07CED3AB775522AAC2C7CC9278E8F164827597BEC4C5D77DA1 |
|
CONTENT
ssdeep
|
3072:/kE8eoaUD1akKJrjylK2E6IOZuagKI3ImJS2QMIYLQICeIkPksuGIyIhuBn1t67T:/kE8eoaUD15KNQ5Ixf3NjA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926a93473c |
|
VISUAL
aHash
|
fff1000000f1fbfb |
|
VISUAL
dHash
|
2e22624345e31212 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00008000 |
|
VISUAL
cropResistant
|
2b22634347e31212,00020c0c0c0c0204,9696969313531b59,8202020606060606,9f8d0d8c8f232264 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)