Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD234A726332B87843CB91EEA7392956B2D1989DF8C74414F5C95ACD23C3C806297BB8 |
|
CONTENT
ssdeep
|
768:aK+EsZx8/G8C4XDawWMIB2owPMIB2kwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqf:aK+EsZ/8VXDawWMIBLwPMIBNwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6b94946b91903e |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5171515151000000 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
1e000680001 |
|
VISUAL
cropResistant
|
5171515151000000,33d0d033989a929a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.