Summary
This website contacted 42 IPs in 3 countries across 13 domains to perform 73 HTTP transactions. The main domain is townofblowingrocknc.gov.
Submitted URL: https://www.townofblowingrocknc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(91%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.townofblowingrocknc.gov' is registered with subdomain 'www'. Count 19 characters in 'townofblowingrocknc' holding 5 vowels versus 14 consonants. It segments into five words: town, of, blowing, rock, nc. Expect 4 characters per word on average. 'town' is most common in English usage. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts.
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 |
|---|---|---|---|
| 51 | 2.17.100.217 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.250.185.234 | United States | AS15169GOOGLE |
| 6 | 142.250.186.67 | United States | AS15169GOOGLE |
| 2 | 23.192.152.128 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 23.35.232.134 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 23.50.131.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.16.241.15 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 2.17.100.179 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.168 | United States | AS15169GOOGLE |
| 73 | 42 | - | - |
Detected Technologies6
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
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