Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178026230E144B93BB157E9C4E694CB8B70C18746C297DF4087F653BAE9CBDF29A1024A |
|
CONTENT
ssdeep
|
96:MuwebOULS1hBWYe5Yu8pjZnwX30pKbMtSdwY/nZIq/ww/c3/b1:IebOULSzUY4YXpjZnwX30pKJdwYhkZJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d966e64839192eb6 |
|
VISUAL
aHash
|
00ff1a18181818ff |
|
VISUAL
dHash
|
41ceb432b2b2b28c |
|
VISUAL
wHash
|
80fff718181818ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
8000b08c8c8c0088,b09ade543a704d5c,88008c8c8cb00080,41ceb432b2b2b28c |
Fake Havan 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.
JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.
Pages with identical visual appearance (based on perceptual hash)