Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEE2947261446B3B42E383D9B670671EB3E3C689DB92062243FD835C4FE6E40DE67526 |
|
CONTENT
ssdeep
|
384:TeFcXh2ZqQk1Nk1+1WxyGlZSC9nSUfCu4ei/H2A7n+nEPsxIYsOy2+y9BH4cUUIe:TeFcYg8aCk48ZO7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247f412cd38b8e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
ccccc8c0cccc0d00 |
|
VISUAL
wHash
|
04fc60201c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cf8e8ec3c3c3,0880880458988000,dcccc8c0c8cccc0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.