Summary
This website contacted 19 IPs in 2 countries across 16 domains to perform 173 HTTP transactions. The main domain is fingerlakes.com and was registered NaN years ago.
Submitted URL: https://www.fingerlakes.com/towns/seneca-falls/
The Cisco Umbrella rank of the primary domain is #918,936 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational site about Seneca Falls with no security concerns.
Safety Factors
Details
Page Title
Seneca Falls, NY A guide to Seneca Falls Hotels and information
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
Domain 'www.fingerlakes.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'fingerlakes' stretches across 11 characters holding 4 vowels versus 7 consonants. Word splitting yields 2 words: finger, lakes. Average segment length settles at 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 |
|---|---|---|---|
| 11 | 34.215.42.28 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 9 | 216.239.32.36 | United States | AS15169GOOGLE |
| 9 | 157.240.205.35 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 9 | 142.251.38.74 | United States | AS15169GOOGLE |
| 9 | 37.27.135.61 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 9 | 216.58.209.202 | United States | AS15169GOOGLE |
| 9 | 104.18.34.21 | United States | AS13335CLOUDFLARENET |
| 9 | 3.164.68.40 | United States | AS16509AMAZON-02 |
| 9 | 157.240.205.11 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 9 | 13.33.235.82 | New York, New York, United States | AS16509AMAZON-02 |
| 173 | 19 | - | - |
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
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