Summary
This website contacted 21 IPs in 2 countries across 8 domains to perform 90 HTTP transactions. The main domain is vanmeteria.gov and was registered NaN years ago.
Submitted URL: https://www.vanmeteria.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
City of Van Meter
Scan Type
public
Language
English
Category
government public service
(58%)Domain Information
Domain 'www.vanmeteria.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. Count 10 characters in 'vanmeteria' split between 5 vowels and 5 consonants. Segmentation suggests four words: van, meter, i, a. Expect 2 characters per word on average. The linguistic tilt is Hungarian for 'van'. You may catch it in English and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 10 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 4 | 13.107.246.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 142.250.186.35 | United States | AS15169GOOGLE |
| 4 | 20.118.40.5 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 142.250.184.234 | United States | AS15169GOOGLE |
| 4 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 142.250.185.202 | United States | AS15169GOOGLE |
| 4 | 2a03:2880:f177:185:face:b00c:0:25de | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 90 | 21 | - | - |
Detected Technologies9
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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