Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DB2727205461837033B49CAB568A76EA2D3D10DCA134D10B7FC87FDDBE9EB1650AA4E |
|
CONTENT
ssdeep
|
384:YwUiwemIr+1fw94Yo4o5Y4Yo4TW4Yo4rY4Yo4FhA8oEdbli7:RiemIa84Yotm4YoAW4Yob4YoAhA8oEbq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1931365c6c6cce9 |
|
VISUAL
aHash
|
ff0cdfffc3c3c300 |
|
VISUAL
dHash
|
dc59152592968602 |
|
VISUAL
wHash
|
ff0c9dfdc1c1c300 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
dc59152592968602 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.