Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12005656C7760037A01DB02BDFBA69726E28C8D4DC367FC52D6AD039717A8C919B45E8C |
|
CONTENT
ssdeep
|
1536:r9gogQ6GoECRQJnkM5T0BGxfP0alRo+vY8yzqTxdwyOuCfOhr1xrGHoDrv+8eY++:r9gogK8xLOsJ3wncC+gtQdIJ4fsa+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be7bc5841392c669 |
|
VISUAL
aHash
|
ff81818181bfffff |
|
VISUAL
dHash
|
48333b3933262779 |
|
VISUAL
wHash
|
ff81818181939fbd |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
48333b3933262779,e89096aaa0696996,362331dc6c3c3c34,4152696969566041 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.