Summary
This website contacted 41 IPs in 2 countries across 17 domains to perform 149 HTTP transactions. The main domain is stlouismi.com and was registered NaN years ago.
Submitted URL: https://www.stlouismi.com/government/fire-department/
AI Security Verdict
Low Risk
Confidence: 85%
Minor redirect issue; otherwise appears legitimate.
Risk Factors
Safety Factors
Details
Page Title
Fire Department - St Louis MI
Scan Type
public
Language
English
Category
government public service
(88%)Domain Information
You're looking at domain 'www.stlouismi.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'stlouismi' covers 9 characters holding 4 vowels versus 5 consonants. Tokenizing the label suggests 3 words: st, louis, mi. Expect 2 characters per word on average. 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 |
|---|---|---|---|
| 57 | 45.79.138.245 | Cedar Knolls, New Jersey, United States | AS63949Akamai Connected Cloud |
| 45 | 57.144.248.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 7 | 157.240.0.3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 6 | 172.66.166.86 | United States | AS13335CLOUDFLARENET |
| 5 | 157.240.253.2 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 57.144.248.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 57.144.248.129 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 149 | 41 | - | - |
Detected Technologies4
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
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