Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156C29671A190673B0293C2CDB362AB2F63E2828DEB8A051553FD876D0FD7E50ED23565 |
|
CONTENT
ssdeep
|
768:G1eGhzZEgNiz+UKjDGpEYR/Jfh7sOy2+y9BH4cLIe:0SJzgD0EEf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bd3890ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c0c8c8cccc00 |
|
VISUAL
wHash
|
06707060604effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0d0c8c8cccc |
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.