Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193B2D7729155AD3F823341C8F7A6733A62E3514DDA17012592FD83B94FEAE86FC1B844 |
|
CONTENT
ssdeep
|
384:4x7/tgrPl80IINyetPangAH1NFRDAZw4HfwuOuNiv9mVux9v8:4x7/a7l80IINL5K1NFRDAY9Wux9v8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76c92399e9c829e |
|
VISUAL
aHash
|
3e60707060607c3e |
|
VISUAL
dHash
|
eccec0c4c0c0c4cc |
|
VISUAL
wHash
|
3e7078f070707c3e |
|
VISUAL
colorHash
|
38007000080 |
|
VISUAL
cropResistant
|
eccec0c4c0c0c4cc |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.