Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C323737244562537222FFEC6A569378DB3AFA10ECB2E55D093F943AC87C1E70A837149 |
|
CONTENT
ssdeep
|
768:r+wkD3F2smU/aJeCxiH8tVU4VUz+DGiyy3dL4lF89esYQcQBrEsjYAsszesV47JU:r+wkrF2smU/aJeCxiH8tVU4VUzQGHy37 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9024cb2dbdd166d3 |
|
VISUAL
aHash
|
0026664602007c7c |
|
VISUAL
dHash
|
b6e4cc9666a4d8d8 |
|
VISUAL
wHash
|
6e76766706007c7c |
|
VISUAL
colorHash
|
30003008000 |
|
VISUAL
cropResistant
|
fefebeee3b6ffefe,37f0c8c8f0f0f4f0,e06ed49cc0037969,18b8f2e694d0d3c4,b6e4cc9666a4d8d8 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.