Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155C2A43160906A3F12D7C2C9B3617B2FA2D3828DD785055953FD8BAD0BEBE40DD23529 |
|
CONTENT
ssdeep
|
768:ReH5uzRsPhKmmgZtEEu7sOy2+y9BH4crIe:E0RskiZ47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3458432bd38b3e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc4c288c8cc8c00 |
|
VISUAL
wHash
|
06746040644effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dce4c0c888c8cc0c |
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.