Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C28471A1502B3B0293C3CD7661772EA2E3828DEB86150153FD876D0FE7E40DE2396A |
|
CONTENT
ssdeep
|
768:ve/5LtpL2riFCJzkiMXalsE1n7sOy2+y9BH4c1Ie:WaPJIio8sk7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341b432bc3c94ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c2c8c8cccc00 |
|
VISUAL
wHash
|
06786060604effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,9cc8c0c0c8c8cccc |
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.