Summary
This website contacted 44 IPs in 5 countries across 45 domains to perform 194 HTTP transactions. The main domain is travelingmitch.com and was registered NaN years ago.
Submitted URL: https://www.travelingmitch.com/mostrecent/what-to-do-seneca-falls-ny
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate travel blog page with no security concerns
Safety Factors
Details
Page Title
What to Do in Seneca Falls, NY: Exploring The Birthplace of Women's Rights in America — travelingmitch
Scan Type
public
Language
English
Category
news/blog
(90%)Domain Information
You're looking at domain 'www.travelingmitch.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'travelingmitch' spans 14 characters split between four vowels and 10 consonants. Segmentation suggests two words: traveling, mitch. Median word length is seven 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 |
|---|---|---|---|
| 22 | 2.18.244.217 | Schiphol, North Holland, Netherlands | AS20940Akamai International B.V. |
| 4 | 35.157.243.34 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 216.58.209.168 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 172.64.150.190 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.11.219 | United States | AS13335CLOUDFLARENET |
| 4 | 185.76.9.27 | Stockholm, Stockholm County, Sweden | AS60068Datacamp Limited |
| 4 | 185.76.9.12 | Stockholm, Stockholm County, Sweden | AS60068Datacamp Limited |
| 4 | 199.232.174.132 | Stockholm, Stockholm County, Sweden | AS54113FASTLY |
| 194 | 44 | - | - |
Detected Technologies7
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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