Summary
This website contacted 29 IPs in 3 countries across 24 domains to perform 93 HTTP transactions. The main domain is fingerlakespremierproperties.com and was registered NaN years ago.
Submitted URL: https://www.fingerlakespremierproperties.com/blog/things-to-do-for-the-best-seneca-falls-ny-experience
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate site with minor redirect issue; low risk.
Risk Factors
Safety Factors
Details
Page Title
Things to Do For the Best Seneca Falls, NY, Experience
Scan Type
public
Language
English
Category
social media network
(74%)Domain Information
The domain 'www.fingerlakespremierproperties.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'fingerlakespremierproperties' spans 28 characters with eleven vowels and 17 consonants. Segmentation suggests 4 words: finger, lakes, premier, properties. Expect 6.5 characters per word on average. 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 |
|---|---|---|---|
| 9 | 216.239.34.36 | United States | AS15169GOOGLE |
| 3 | 44.254.223.38 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 3 | 142.251.141.67 | United States | AS15169GOOGLE |
| 3 | 52.45.49.227 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 13.32.99.23 | New York, New York, United States | AS16509AMAZON-02 |
| 3 | 142.251.141.100 | United States | AS15169GOOGLE |
| 3 | 44.229.18.210 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 93 | 29 | - | - |
Detected Technologies5
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
Unable to load historical scan data