Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4C2A53261506B3B4293C2C9B361772F62E3828DE786151293FD876D0FE7E44DE27929 |
|
CONTENT
ssdeep
|
768:pejZiaayBf1DhLCtwi27sOy2+y9BH4cLIe:YtBNDxQo7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3419432bc3cb3e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
9cc0c0c8c8cccc00 |
|
VISUAL
wHash
|
067c6060600effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cd4c0c8c8c8cccc |
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.