Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B14C5E161802B7E415F87C59BB1FFDCE3EA605EFA990846C2D843A452D3CD0EEAB544 |
|
CONTENT
ssdeep
|
1536:sohanHLqLejc4BraXI2uvUaKrj1/5GXEhh5v9kxFD6YboLaB6ZBy9B7ByBS:sohanemU2BUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9949363665671e9c |
|
VISUAL
aHash
|
001c3c383c3c3c00 |
|
VISUAL
dHash
|
1771717331296916 |
|
VISUAL
wHash
|
003c7c3c3c3e7e5a |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771717331296916 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)