Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC2A57260002A3B51D7C3C9F761B72ED2E3824DEB8A080552FC975E4BE7E90DB1756A |
|
CONTENT
ssdeep
|
768:dSCy5NmMoOJGaSLpNwujlNC7sOy2+y9BH4crIe:MoO0BLDJNC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363f138fd0cc6c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c0e0f1f9bd00 |
|
VISUAL
wHash
|
002f7018181effff |
|
VISUAL
colorHash
|
11010000e00 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19c8e0f0f1f9fd |
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.