Summary
This website contacted 10 IPs in 2 countries across 4 domains to perform 51 HTTP transactions. The main domain is orwigsburg.gov and was registered NaN years ago.
Submitted URL: https://orwigsburg.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Orwigsburg
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'orwigsburg.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The registrable portion 'orwigsburg' spans 10 characters containing 3 vowels alongside seven consonants. Word splitting yields three words: or, wigs, burg. The median word length lands at four characters. 'or' most often appears in Chinese (Pinyin). You may catch it in English and German as well. Overall, 'orwigsburg.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 6 | 142.250.186.163 | United States | AS15169GOOGLE |
| 5 | 23.92.19.67 | Cedar Knolls, New Jersey, United States | AS63949Akamai Connected Cloud |
| 5 | 172.66.47.112 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.185.234 | United States | AS15169GOOGLE |
| 5 | 2606:4700:310c::ac42:2f70 | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700:310c::ac42:2c90 | United States | AS13335CLOUDFLARENET |
| 5 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:812::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 216.58.206.67 | United States | AS15169GOOGLE |
| 5 | 172.66.44.144 | United States | AS13335CLOUDFLARENET |
| 51 | 10 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
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