Summary
This website contacted 11 IPs in 2 countries across 4 domains to perform 98 HTTP transactions. The main domain is jamestownri.gov and was registered NaN years ago.
Submitted URL: https://jamestownri.gov/
AI Security Verdict
Moderate Risk
Confidence: 72%
The page mimics Facebook branding on a government domain, which is suspicious despite the lack of credential collection.
Risk Factors
Safety Factors
Details
Page Title
Town of Jamestown -
Scan Type
public
Language
English
Category
government public service
(85%)Domain Information
The domain 'jamestownri.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'jamestownri' stretches across 11 characters holding four vowels versus seven consonants. Tokenizing the label suggests two words: jamestown, ri. Median word length is 5.5 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 |
|---|---|---|---|
| 18 | 23.36.162.197 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 8 | 23.101.118.145 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 104.18.94.41 | United States | AS13335CLOUDFLARENET |
| 8 | 104.18.95.41 | United States | AS13335CLOUDFLARENET |
| 8 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 2a02:26f0:3500:18::1724:a298 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 162.159.138.60 | United States | AS13335CLOUDFLARENET |
| 8 | 2a02:26f0:3500:18::1724:a28a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 2606:4700::6812:5f29 | United States | AS13335CLOUDFLARENET |
| 98 | 11 | - | - |
Detected Technologies4
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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