Summary
This website contacted 80 IPs in 5 countries across 26 domains to perform 218 HTTP transactions. The main domain is mybellinghamnow.com and was registered NaN years ago.
Submitted URL: https://mybellinghamnow.com/news/297792-whatcom-county-officials-warn-residents-of-moderate-flooding-this-week/
AI Security Verdict
Low Risk
Confidence: 88%
Legitimate local news site with minor redirect concern
Risk Factors
Safety Factors
Details
Page Title
Whatcom County officials warn residents of moderate flooding this week - My Bellingham Now
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Domain 'mybellinghamnow.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'mybellinghamnow' covers 15 characters containing 4 vowels alongside eleven consonants. Word splitting yields three words: my, bellingham, now. The median word length lands at three 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 |
|---|---|---|---|
| 60 | 65.9.175.6 | United States | AS16509AMAZON-02 |
| 2 | 142.250.186.164 | United States | AS15169GOOGLE |
| 2 | 34.252.242.27 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 65.9.175.32 | United States | AS16509AMAZON-02 |
| 2 | 54.220.168.105 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 18.66.102.84 | United States | AS16509AMAZON-02 |
| 2 | 3.160.150.14 | United States | AS16509AMAZON-02 |
| 2 | 65.9.175.71 | United States | AS16509AMAZON-02 |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 184.24.77.141 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 218 | 80 | - | - |
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
Scan history not available
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