Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135B30AE021C42953D613D3D0DFA87B5B11FB92D8493298109CB881DADFC7D6AA9352FB |
|
CONTENT
ssdeep
|
768:vi44kLsCCrAhCbfiWbhibl44tGaNLiCYrg47aa8fcMcnc1cdcFcR0Q67CQx7iQmR:q44a44tE8E8j8ZdC7yRK4MbLWOE/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95e49f782578856c |
|
VISUAL
aHash
|
c0fe7e7e000c1c3e |
|
VISUAL
dHash
|
9428e4ec98b8316a |
|
VISUAL
wHash
|
c0fe7e7e080c1c3e |
|
VISUAL
colorHash
|
38480000000 |
|
VISUAL
cropResistant
|
93c0c0009a9ac89a,4964728099ddced9,6020428099d8cedb,9428e4ec98b8316a |
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 161 techniques to evade detection by security scanners and make reverse engineering more difficult.