Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171732B42425893396516A7F833714E3D222779EFFB3FD208895A250BA5D78047B1EB8F |
|
CONTENT
ssdeep
|
1536:rrzOMZgu1LyN1OnTEMvpcj9+d800jOQAyHzy7RzyjhGIIIwIpIX/8+N:rrH/nY+p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa0ad9d8d8cacacb |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
d1ddddfdbb7d5554 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
16600018000 |
|
VISUAL
cropResistant
|
d1ddddfdbb7d5554,d5c9d5fbbb555454 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.