Summary
This website contacted 38 IPs in 1 country across 17 domains to perform 662 HTTP transactions. The main domain is murraylibraryut.gov and was registered NaN years ago.
Submitted URL: https://murraylibraryut.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Murray City Library – The Official Website of the Murray City Library
Scan Type
public
Language
English
Category
entertainment media
(94%)Domain Information
The domain name 'murraylibraryut.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'murraylibraryut' stretches across 15 characters with five vowels and ten consonants. Tokenizing the label suggests 3 words: murray, library, ut. Expect 6 characters per word on average. 'murray' is most common in English usage. You may catch it in Chinese (Pinyin) and Indonesian 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 |
|---|---|---|---|
| 33 | 172.67.139.119 | United States | AS13335CLOUDFLARENET |
| 17 | 54.192.35.54 | United States | AS16509AMAZON-02 |
| 17 | 52.222.214.82 | United States | AS16509AMAZON-02 |
| 17 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 17 | 54.192.35.120 | United States | AS16509AMAZON-02 |
| 17 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 17 | 54.192.35.28 | United States | AS16509AMAZON-02 |
| 17 | 74.201.105.51 | United States | AS14742INTERNAP-BLOCK-4 |
| 17 | 54.192.35.118 | United States | AS16509AMAZON-02 |
| 17 | 104.20.46.41 | United States | AS13335CLOUDFLARENET |
| 662 | 38 | - | - |
Detected Technologies11
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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