Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA32A57381446EBFF3118BC8D4DAB36D22F9A38AF5831014FB570A699D85CE7A03D546 |
|
CONTENT
ssdeep
|
192:+TsZjA2AAArAlZu4dSF5w6evsRG0C8Bi0XhMO156Y7hRG00QsQw90E94XTx9dDe:+oZ8NnEzu5F5LeaG0CSi057G00QsQM0U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83831c7c7c6c6c6 |
|
VISUAL
aHash
|
8f8f8f8fffffffff |
|
VISUAL
dHash
|
1818393bcdefffff |
|
VISUAL
wHash
|
8f8e8f013f070f0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1818393bcdefffff,0d90a36f1f9898ba |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.