Summary
API
Submitted URL: https://www.visitdublinohio.com/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate official tourism site for Dublin, Ohio. Domain matches brand, no credential/payment forms, no threat-intel, YARA, or IDS hits. Safe to use.
Safety Factors (5)
Details
Page Title
Visit Dublin, Ohio | Discover the Best Things to Do in Dublin, OH
Scan Type
public
Domain Name Analysis
The domain 'www.visitdublinohio.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'visitdublinohio' stretches across 15 characters split between 7 vowels and eight consonants. It segments into 3 words: visit, dublin, ohio. The median word length lands at 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 |
|---|---|---|---|
| 49 | 2.17.100.224Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.18.0.22Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 162.159.138.60Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 184.24.77.165Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.251.13.95Google · CDN | United States | AS15169Google LLC |
| 5 | 172.66.136.7Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 5 | 54.192.35.66Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 5 | 142.251.14.94Google · CDN | United States | AS15169Google LLC |
| 5 | 184.24.77.135Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 359 | 63 | - | - |
Detected Technologies17
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan History
Scan history not available
Unable to load historical scan data