Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114D29732B144263B02A383C677A1B71FB1E78349EB89190562FC875D4BD7F54DE2362A |
|
CONTENT
ssdeep
|
768:YeFy5NfSdtWks/JtVBUJRIeETiLXFq7sOy2+y9BH4crIe:Ndtjs/XfUJdxY7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d538b42da5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
ccc1c3e3cd9cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,ccc9c3c3c9cd94d0 |
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.