Summary
This website contacted 10 IPs in 1 country across 10 domains to perform 54 HTTP transactions. The main domain is muellerbies.com and was registered NaN years ago.
Submitted URL: https://www.muellerbies.com/obituaries/michael-crawford
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Michael William Crawford Obituary October 5, 2025 - Mueller-Bies Funeral Homes
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Domain 'www.muellerbies.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'muellerbies' stretches across 11 characters split between 5 vowels and 6 consonants. Segmentation suggests 3 words: mueller, bie, s. Median word length comes out to 3 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 | 146.190.187.149 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 5 | 142.250.186.131 | United States | AS15169GOOGLE |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 142.250.186.138 | United States | AS15169GOOGLE |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 216.58.206.67 | United States | AS15169GOOGLE |
| 5 | 161.35.255.26 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 5 | 44.252.206.107 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 5 | 142.251.141.72 | United States | AS15169GOOGLE |
| 5 | 178.128.134.103 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 54 | 10 | - | - |
Detected Technologies3
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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