Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E285725004AB3B02E783E6B761A72FA2E3C24DEB97061543FD835C0BD6E54DE63526 |
|
CONTENT
ssdeep
|
384:IeaPLKf21N161g1Kd/hxcnYnN+s/Dy+bn9fLgaNqHspAh6b+FENIYsOy2+y9BH4y:IeaPLzm+EDPnFKAl7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd39b1e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
ccccc8c0cccc0d00 |
|
VISUAL
wHash
|
04fc60101c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3878696c3c1c3,0880880458988000,dcecc8d8c8cccc2c |
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.
Pages with identical visual appearance (based on perceptual hash)