Summary
This website contacted 18 IPs in 2 countries across 6 domains to perform 100 HTTP transactions. The main domain is impact100.org and was registered NaN years ago.
Submitted URL: https://impact100.org/event/queen-bee-half-marathon-walk-run/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate event page with no security concerns.
Safety Factors
Details
Page Title
Queen Bee Half Marathon Walk/Run - Impact 100 Cincinnati
Scan Type
public
Language
English
Category
forum community discussion
(72%)Domain Information
Domain 'impact100.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'impact100' spans 9 characters containing 2 vowels alongside 4 consonants, plus three digits. Tokenizing the label suggests 2 words: impact, 100. Average segment length settles at 4.5 characters. 'impact' is most common in English usage. It also appears in French and Vietnamese contexts.
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 |
|---|---|---|---|
| 15 | 162.159.134.42 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.74.200 | United States | AS15169GOOGLE |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 2.16.168.109 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.18.1.22 | United States | AS13335CLOUDFLARENET |
| 5 | 2.16.168.106 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2.16.168.105 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 100 | 18 | - | - |
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
Other Hashes
Scan History
Scan history not available
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