Summary
This website contacted 34 IPs in 4 countries across 16 domains to perform 149 HTTP transactions. The main domain is albemarlenc.gov and was registered NaN years ago.
Submitted URL: https://www.albemarlenc.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate municipal website; minor redirect issue does not indicate phishing.
Risk Factors
Safety Factors
Details
Page Title
Albemarle, NC | Home
Scan Type
public
Language
English
Category
government public service
(70%)Domain Information
The domain 'www.albemarlenc.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'albemarlenc' stretches across 11 characters containing 4 vowels alongside seven consonants. Segmentation suggests 2 words: albemarle, nc. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 77 | 23.50.131.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 11 | 157.240.205.63 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 7 | 172.217.18.3 | United States | AS15169GOOGLE |
| 4 | 52.247.170.120 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 104.20.42.78 | United States | AS13335CLOUDFLARENET |
| 4 | 23.50.131.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.50.131.134 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 149 | 34 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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