Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E904C4E161802B7F425F87C59BB5EFD8F3E6505EFA880846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:rSTmkTHmkTEohanZLqLej04BraXf2uvUaKrdRzSTmkTh307ClAuQRf0EsK9RTKdK:fohanMVUKZBUBFB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849673665671e99 |
|
VISUAL
aHash
|
001c3c3c3c3c3c00 |
|
VISUAL
dHash
|
1771713331296916 |
|
VISUAL
wHash
|
003c3c3c3e3e7e5a |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771713331296916 |
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)