Summary
API
Submitted URL: https://partyspace.com/philadelphia/venue/william-penn-inn
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate wedding venue directory listing for William Penn Inn on the long-established PartySpace domain. No phishing, malware, or impersonation indicators.
Safety Factors (4)
Details
Page Title
William Penn Inn Wedding Venue in Philadelphia | PartySpace
Scan Type
public
Domain Name Analysis
Domain 'partyspace.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'partyspace' is 10 characters long with three vowels and seven consonants. Word splitting yields two words: party, space. The median word length lands at five 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 |
|---|---|---|---|
| 9 | 150.171.109.100Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 104.17.207.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 23.2.13.59Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.20.95Google · CDN | United States | AS15169Google LLC |
| 4 | 184.24.77.169Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 23.2.13.98Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 150.171.109.101Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 184.24.77.201Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.17.25.14Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 141 | 34 | - | - |
Detected Technologies8
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data