Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14643A6B261946ABB12B793D196242B1FF3D1D049DA2306C07BFDC3DD9BC6C609D72682 |
|
CONTENT
ssdeep
|
768:uArbWy1x9WkBdAzA9EMS2r1rpuzDfSYDwI:u6WY9ldAYE8rpuzDfSYDwI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf34359c34cf2487 |
|
VISUAL
aHash
|
1218203c3c3c3c18 |
|
VISUAL
dHash
|
b671606969617960 |
|
VISUAL
wHash
|
5a3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30000040011 |
|
VISUAL
cropResistant
|
5955551c6c4c5e12,b671606969617960 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.