Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3B2A571A2486A3961C642DDE33133FA73AE419EC71B132862E5432C5E81ECAED771D9 |
|
CONTENT
ssdeep
|
384:GXlRro8D0DUu53eAR+f2zPwbBA35Xdh1G9YdVRGSBx:GXlWnZtI9IVRGSBx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc666398cc7398cc |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
00203232b2b24c30 |
|
VISUAL
wHash
|
983c3c3c3c3c3c28 |
|
VISUAL
colorHash
|
38001030000 |
|
VISUAL
cropResistant
|
40946b0333748100,00203232b2b24c30 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.