Summary
This website contacted 42 IPs in 2 countries across 20 domains to perform 103 HTTP transactions. The main domain is barstowca.org and was registered NaN years ago.
Submitted URL: https://www.barstowca.org/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate city website with no apparent security threats.
Safety Factors
Details
Page Title
City of Barstow | Home
Scan Type
public
Language
English
Category
government public service
(93%)Domain Information
Domain 'www.barstowca.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The registrable portion 'barstowca' spans 9 characters with 3 vowels and six consonants. Tokenizing the label suggests two words: barstow, ca. The median word length lands at 4.5 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 |
|---|---|---|---|
| 67 | 184.86.103.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 57.144.248.192 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 172.66.155.140 | United States | AS13335CLOUDFLARENET |
| 2 | 57.144.244.192 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 23.209.208.19 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 23.32.238.115 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 103 | 42 | - | - |
Detected Technologies3
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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