Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123D2A8327100363B12CB82D9F361F32FA3A39389E656051992FD839D4BD7D54DA7362A |
|
CONTENT
ssdeep
|
768:MScy5Nae8JYsqJtThrBcj7sOy2+y9BH4c1Ie:v8Ucj7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b43add289283 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc6c2c8cdc300 |
|
VISUAL
wHash
|
00f7f0303004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
008080024c888000,9ccccec2c2c8cdc1 |
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.