Summary
This website contacted 5 IPs in 3 countries across 4 domains to perform 92 HTTP transactions. The main domain is comune.postal.bz.it.
Submitted URL: https://www.comune.postal.bz.it/de
AI Security Verdict
Safe Website
Confidence: 85%
2
Risk Score
The site appears to be a legitimate municipal portal with no clear malicious activity.
Risk Factors
Domain is unranked in Cisco Umbrella (low reputation signal)
Domain age information unavailable (could be newly registered)
Hidden password field flagged in analysis
Safety Factors
Site hosts standard municipal information and services
No payment or sensitive personal data collection beyond login credentials
No external links to suspicious sites
No malicious Indicators of Compromise detected
Domain age information unavailable
Details
Page Title
Gemeinde Burgstall - Startseite
Scan Type
public
Language
🇩🇪
(80% confidence)German
Category
government public service
(94%)Screenshot

Page Load Overview
15.18s
Total Load Time
92
HTTP Requests
4
Domains
2.2 MB
Total Size
Language Analysis
Primary Language
🇩🇪German
Code: deConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:9,966 chars
Detector Agreement:100%
Website Classification
Primary Category
government public service94% confidence
Type: webapp
Method: ml+structural
All Detected Categories
government public service
94%
healthcare medical
41%
education learning
32%
adult content
31%
real estate property
25%
Detected Features
Login Form
Search
OG: website
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 20 | 52.155.171.125 | Dublin, Leinster, Ireland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 18 | 85.31.14.36 | Wels, Upper Austria, Austria | AS21013eww ag |
| 18 | 20.107.132.93 | Dublin, Leinster, Ireland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 18 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 18 | 2400:52e0:1e00:2::1332:1 | Unknown | Unknown |
| 92 | 5 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1A7B3B571355D083F603327E4A2298F6662B3E738D7A7096077B8C3D267C5D929A0C67E
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:swNL+PaR88g47EVt/XFaGdjTiLwnGQErKhqhtv9oES8w2W8l97:sw9+Pz8w2ZlF
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:109028:JlACtkBwiEoAuucAG8AAQAQAAimSXJGCxj+IIBc13qxDYjKQhiv5sGWCQCCitSACQAQARKYMCwyghCyBYhKVAHhPBBYAA4gO
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Average Hash:00001818189b81ff
Perceptual Hash:9c4263bc8d7b9c62
Difference Hash:8e8d713333330b33
Wavelet Hash:00003c189fdfcbff
Color Hash:#ac9053
Other Hashes
Crop Resistant:8292f2a28e8e8e96,8e8d713333330b33
Scan History
Scan history not available
Unable to load historical scan data