Summary
This website contacted 12 IPs in 2 countries across 5 domains to perform 110 HTTP transactions. The main domain is cedarlakein.gov and was registered NaN years ago.
Submitted URL: https://cedarlakein.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Town of Cedar Lake – Explore Relax Stay
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'cedarlakein.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'cedarlakein' stretches across 11 characters holding five vowels versus 6 consonants. Tokenizing the label suggests three words: cedar, lake, in. Expect 4 characters per word on average. 'cedar' most strongly signals Slovenian. Usage also turns up in Italian and English contexts.
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 |
|---|---|---|---|
| 11 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 9 | 198.12.234.59 | United States | AS398101GO-DADDY-COM-LLC |
| 9 | 104.102.33.89 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 9 | 216.58.212.136 | United States | AS15169GOOGLE |
| 9 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 9 | 2a02:26f0:3500:2aa::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 2606:4700:3037::ac43:8ef5 | United States | AS13335CLOUDFLARENET |
| 9 | 2a02:26f0:3500:2ba::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 110 | 12 | - | - |
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
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