Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D29571A0007A3F0293D2DEB761B72EA2D3838DDA46090952FD975E0BE7E90DE1751A |
|
CONTENT
ssdeep
|
768:CVy5NnNw+Y+0rXOOjKHVK6Bou7sOy2+y9BH4crIe:hHYXXmeu7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c7eeb269b26c |
|
VISUAL
aHash
|
3e1c068fcfcff3fe |
|
VISUAL
dHash
|
e0f0bc3c3d1d23c2 |
|
VISUAL
wHash
|
3c18048787c7f1fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e0f0bc3c3d1d23c2 |
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.