Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D252315140AB3B01E783E6B761B72EA2E2C28DEB871A5643FD835D0FD6E40DE63516 |
|
CONTENT
ssdeep
|
768:6eFHktLJtPkEUm+HsRo7sOy2+y9BH4crIe:jkdvkEnQCo7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412e938b9e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
cccc40c8ccccad00 |
|
VISUAL
wHash
|
04fc20301c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,dccc40c8c8cccc2c |
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.