Summary
This website contacted 65 IPs in 2 countries across 19 domains to perform 125 HTTP transactions. The main domain is frederickcountymd.gov and was registered NaN years ago.
Submitted URL: https://frederickcountymd.gov/
The Cisco Umbrella rank of the primary domain is #417,752 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate Frederick County government website with no phishing or malware indicators.
Safety Factors
Details
Page Title
Frederick County MD - Official Website | Official Website
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'frederickcountymd.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 17 characters in 'frederickcountymd' holding five vowels versus 12 consonants. Word splitting yields 3 words: frederick, county, md. Expect 6 characters per word on average. 'frederick' most strongly signals English. You may catch it in Dutch and Swedish 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 |
|---|---|---|---|
| 61 | 3.68.14.17 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 208.90.188.189 | United States | AS36489NETSOLUS-NETWORKS |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 18.197.242.199 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 18.245.31.55 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.81 | United States | AS16509AMAZON-02 |
| 1 | 142.250.184.211 | United States | AS15169GOOGLE |
| 1 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 18.245.31.69 | United States | AS16509AMAZON-02 |
| 125 | 65 | - | - |
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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