Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A9331719815AC3B01A791F4A2745B1B7792C306CF170B8A63F4C36D9FCBDA8ED22589 |
|
CONTENT
ssdeep
|
1536:ztlK2XnHeeeJeeeHeeeMeeeAeeeGeeeReeePeeaeeEeeGkgyWKN/+w7Polyk5eBq:Dn5gyPYfA5i25iA5i5niubkGw+ |
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
|
ea80555580d484e8,fefebcd4d8ac5efe,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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)