Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BB285716150673F4293C2C877717B2EA2E38289E78A160653FD876D0FE7E40DD27929 |
|
CONTENT
ssdeep
|
768:kreLjFQF7MGIx7IXJJcXHp3BT07sOy2+y9BH4c1Ie:dpMJJUk7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2459432f134b6ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc0c2c8c8cc8c00 |
|
VISUAL
wHash
|
067c3040640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc0c0c8c8c8cc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.