Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127D2647191447A3B02E383DAB761772FA2E38249DB87061653FD835D0BEBE40DE63526 |
|
CONTENT
ssdeep
|
384:QeahxQl2hZR41X1O1QdkjCqxG5OWnvnTs66LO3Lk5a/qHstdLcJRH5IYsOy2+y9j:QeahxCV5OIT3QOvD67sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247f412d93898ed |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
dcccc8d0cccc0d00 |
|
VISUAL
wHash
|
04fc70100c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cdcdcdc3c3c3,0880880458988000,9cccc8c0c8cccc2c |
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.