Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A364709815283B126B55F4B1745B1B72D3C30ACF170B8963FCC3A99FCADA8ED26589 |
|
CONTENT
ssdeep
|
3072:htWMl9MlUMldovtMlsMl1MlGMlLMlLMlpMlLMlLMlt/QTbRMlsGLd:3WMl9MlUMlOMlsMl1MlGMlLMlLMlpMl9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92136d6d9392966d |
|
VISUAL
aHash
|
00103e3e7c7c1c18 |
|
VISUAL
dHash
|
f0f0ececc8e8b0f0 |
|
VISUAL
wHash
|
08183e3e7e7cfc18 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
e880545581d484e8,fefe6fe8b4d47ffe,f0f0ececc8e8b0f0 |
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 143 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)