Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F14B6E161802B7E425F83C59B75FFD8F3E6505EFA890846C2E843A452D3CE4EEAB544 |
|
CONTENT
ssdeep
|
1536:/ohanqLqLej04BraXf2uvUaKrkMjvijuUiBexZeiMudz0kvVvTsgB6ZBFB7ByBS:/ohan/VULd6BUBFB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
994d337631671a9c |
|
VISUAL
aHash
|
001c3c3c3c3c3c00 |
|
VISUAL
dHash
|
177171733129699c |
|
VISUAL
wHash
|
003cfcbc3c3e7e02 |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,177171733129699c |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)