Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104C2BA3171047A3F42D7C2C9B362E32AA2E3834AD7460955E2FD839D4FD3D58DA2352A |
|
CONTENT
ssdeep
|
768:hScy5N6Zxupzy3U8atRstD7sOy2+y9BH4c1Ie:jxs1RGD7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361b43adc29d3e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cc4cac2c0c9f100 |
|
VISUAL
wHash
|
00fff0203004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,948cc6c2e0c0c9f9 |
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.