Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1429511A14573B70BC382A2B77687AFB2E6C5589A230F9693FCC25D1BD6E5DC933009 |
|
CONTENT
ssdeep
|
384:ipdPwZcQkjb1P31n+n+n+nohmAWTxSeJk2IfE6T:id8cXF31+++ohTWTxSeGj9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8a7538d7a26d9293 |
|
VISUAL
aHash
|
001818307c7c1919 |
|
VISUAL
dHash
|
b0b131e4c8e0f333 |
|
VISUAL
wHash
|
1818187c7e7e3f19 |
|
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.