Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA3A8B29251683360BBA2D9F535671DA3D3C34BC68247E1B2F8A35B1EC6CA1FC13459 |
|
CONTENT
ssdeep
|
1536:qyxXWnErYXd8FPCFL6uFUtJn1IdmMiEcEO9:TxXWPXHrUtJn1IdmM5cEO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a41267199c9cecdb |
|
VISUAL
aHash
|
0000f7dfdfc3ffc3 |
|
VISUAL
dHash
|
c8cca6361a963606 |
|
VISUAL
wHash
|
0000d3d7cfc3dfc3 |
|
VISUAL
colorHash
|
07200010080 |
|
VISUAL
cropResistant
|
c8cca6361a963606 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.