Summary
This website contacted 14 IPs in 2 countries across 7 domains to perform 45 HTTP transactions. The main domain is bearrivercityutah.gov and was registered NaN years ago.
Submitted URL: https://www.bearrivercityutah.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Bear River City – Best Little Town in Utah
Scan Type
public
Language
English
Category
government public service
(85%)Domain Information
The domain 'www.bearrivercityutah.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The core label 'bearrivercityutah' covers 17 characters with 7 vowels and ten consonants. Tokenizing the label suggests four words: bear, river, city, utah. Expect 4 characters per word on average. 'bear' most strongly signals Chinese (Pinyin). You may catch it in English and Malay as well.
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 |
|---|---|---|---|
| 13 | 172.67.153.24 | United States | AS13335CLOUDFLARENET |
| 12 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 9 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 6 | 104.21.88.204 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.186.106 | United States | AS15169GOOGLE |
| 3 | 216.58.206.67 | United States | AS15169GOOGLE |
| 3 | 2606:4700:3036::6815:58cc | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:813::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 142.250.186.131 | United States | AS15169GOOGLE |
| 3 | 2a00:1450:4001:827::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 45 | 14 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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