Summary
This website contacted 27 IPs in 5 countries across 17 domains to perform 86 HTTP transactions. The main domain is fingerlakestravelny.com and was registered NaN years ago.
Submitted URL: https://www.fingerlakestravelny.com/about/our-region/seneca-county/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Seneca County
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'www.fingerlakestravelny.com' is registered, featuring subdomain 'www'. The second-level label 'fingerlakestravelny' is 19 characters long holding 6 vowels versus 13 consonants. It segments into 4 words: finger, lakes, travel, ny. 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 |
|---|---|---|---|
| 8 | 95.101.74.211 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 13.33.235.128 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 2.18.244.29 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 185.76.9.12 | Stockholm, Stockholm County, Sweden | AS60068Datacamp Limited |
| 3 | 2.18.244.16 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 34.73.189.215 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 2.18.244.35 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 3 | 91.228.74.159 | United Kingdom | AS16509AMAZON-02 |
| 3 | 104.19.147.8 | United States | AS13335CLOUDFLARENET |
| 3 | 2.18.244.25 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 86 | 27 | - | - |
Detected Technologies9
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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