Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B429611A14573B70BC382A2B77687AFB2E6C5589A230F9693FCC25D1BD6E5DC933005 |
|
CONTENT
ssdeep
|
384:ipdPwZcQkjb1P31n+n+n+nohmAWTxSeJk2IfE6Q:id8cXF31+++ohTWTxSeGjG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a5528d7a26d52bb |
|
VISUAL
aHash
|
001818307c7c1b1b |
|
VISUAL
dHash
|
b0b131e4c8e0f333 |
|
VISUAL
wHash
|
1818187c7c7e3f1b |
|
VISUAL
colorHash
|
38002050001 |
|
VISUAL
cropResistant
|
b0b131e4c8e0f333 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.