Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FD1843161002E2B54679359FE60D75E5362D284DB630F0816AC87ABBDDFEA8C9160EF |
|
CONTENT
ssdeep
|
96:nT9W/Qqmpdp0Dr0oahhWGKdUb4NywqCzwID03bMj:TysD0n0Jh8G7twXDCS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33476762c552c |
|
VISUAL
aHash
|
283c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e9e1e9b37b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
830b9ec486a3939e,ba12a656aa2ab2a2,c9c9e9e9e1e9b37b,010229c9c1222001 |
Fake Microsoft Windows site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)