Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5F162B2E060DD36071285D5BBF63B2F76B1C304CB420E9412F853AA5BCEDB1CE12599 |
|
CONTENT
ssdeep
|
96:nk8gzYh7MSfuSTItb8v672gtTVFe4RXyHFcdXSE/3WlG+AT431:k8gzYhhjMl8iKgBojEPWlI8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca5ab5b54a4a85b5 |
|
VISUAL
aHash
|
fcd8f8f8d8ffff7f |
|
VISUAL
dHash
|
01313929294001d0 |
|
VISUAL
wHash
|
80c0c0c0c8ffff3f |
|
VISUAL
colorHash
|
07442000040 |
|
VISUAL
cropResistant
|
01313929294001d0,074f972bab934d13 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)