Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAC1E971A101591D4147C38CEDB8B71E316B82FDEE1B065822D84BAAF6CFEE4CD31598 |
|
CONTENT
ssdeep
|
96:MuUpej5uHu64v6Z9edXjjikkIn+5jt9lMvfcHcY0DLTzVahQhd1515:cwN2u64v6Z9ewvI+FpMc8Y0zzVauhdHH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399336666cc |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
08323232b2323208 |
|
VISUAL
wHash
|
303838383c3c3c3c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
08323232b2323208 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.