Summary
This website contacted 6 IPs in 1 country across 7 domains to perform 30 HTTP transactions. The main domain is hartfordny.gov and was registered NaN years ago.
Submitted URL: https://www.hartfordny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Town of Hartford, New York, Washington County – The official site of the Town of Hartford
Scan Type
public
Language
English
Category
government public service
(70%)Domain Information
You're looking at domain 'www.hartfordny.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Its registrable label 'hartfordny' stretches across 10 characters containing 2 vowels alongside 8 consonants. Word splitting yields 2 words: hartford, ny. Median word length comes out to five 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 |
|---|---|---|---|
| 8 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 4 | 142.251.141.74 | United States | |
| 4 | 104.18.11.207 | United States | Unknown |
| 4 | 142.250.185.164 | United States | Unknown |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 28 | 6 | - | - |
Detected Technologies8
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
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