Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EEC38A10B842D87B1577C0D4B1257FCA7686F71BCA0ACA402BF69251AFDFDB0BE215A4 |
|
CONTENT
ssdeep
|
1536:Jl2BzNvUeozdUewIdUedxCUeH7dUevYdUe4sCUenudUeeAdUenl+:JlS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef66d0959f908469 |
|
VISUAL
aHash
|
ffe1e1a1b9bfe9c9 |
|
VISUAL
dHash
|
6963276373641911 |
|
VISUAL
wHash
|
fd81e181a1bfc989 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
6963276373641911,65662525259a9336,cccc714905414141,dbdb9e1e1d0c071b,311181092583652d |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.