Summary
This website contacted 9 IPs in 4 countries across 3 domains to perform 48 HTTP transactions. The main domain is townofbluffutah.gov and was registered NaN years ago.
Submitted URL: https://townofbluffutah.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Town of Bluff Government – Town of Bluff Municipal Government Website
Scan Type
public
Language
English
Category
government public service
(83%)Domain Information
The domain name 'townofbluffutah.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'townofbluffutah' covers 15 characters split between five vowels and ten consonants. Splitting it apart reveals 4 words: town, of, bluff, utah. Median word length comes out to 4 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 |
|---|---|---|---|
| 8 | 172.67.156.105 | United States | AS13335CLOUDFLARENET |
| 5 | 79.140.95.67 | Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 5 | 104.21.74.86 | United States | AS13335CLOUDFLARENET |
| 5 | 23.42.175.84 | Schiphol, North Holland, Netherlands | AS16625AKAMAI-AS |
| 5 | 2606:4700:3035::6815:4a56 | United States | AS13335CLOUDFLARENET |
| 5 | 2a02:26f0:480:5ad::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:480:58c::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2606:4700:3037::ac43:9c69 | United States | AS13335CLOUDFLARENET |
| 5 | 79.140.95.185 | Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 48 | 9 | - | - |
Detected Technologies9
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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