Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DF230B0E196083FA097C3D5E131E72960994688D70F0B59A3FD12A6BFCBC52BC63759 |
|
CONTENT
ssdeep
|
384:qrIR3KjbtD/CjovnF55EtOo09bsnqa0PqsdRnrLQXvrtN1gOK+31auB3V:qr9xDjF+OId9Bl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c5523dd887723dc |
|
VISUAL
aHash
|
00183838181c0001 |
|
VISUAL
dHash
|
08307060b2200105 |
|
VISUAL
wHash
|
043ef8b97f3c4189 |
|
VISUAL
colorHash
|
38000000640 |
|
VISUAL
cropResistant
|
08307060b2200105 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.