Summary
This website contacted 14 IPs in 2 countries across 6 domains to perform 27 HTTP transactions. The main domain is stephenscity.org and was registered NaN years ago.
Submitted URL: https://www.stephenscity.org/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Stephens City
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
The domain 'www.stephenscity.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'stephenscity' stretches across 12 characters with three vowels and 9 consonants. Segmentation suggests two words: stephens, city. The median word length lands at six characters. Most frequently, 'stephens' shows up in Chinese (Pinyin). You will also see it in English and Malay contexts. Net impression: Chinese (Pinyin) phrase.
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 |
|---|---|---|---|
| 14 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 198.49.23.144 | United States | AS53831SQUARESPACE |
| 1 | 198.49.23.145 | United States | Unknown |
| 1 | 184.24.77.152 | United States | Unknown |
| 1 | 184.24.77.154 | United States | Unknown |
| 1 | 198.185.159.145 | United States | Unknown |
| 27 | 14 | - | - |
Detected Technologies10
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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