Summary
This website contacted 22 IPs in 2 countries across 9 domains to perform 89 HTTP transactions. The main domain is dallascountyiowa.gov and was registered NaN years ago.
Submitted URL: https://dallascountyiowa.gov/
The Cisco Umbrella rank of the primary domain is #715,250 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no detected threats.
Safety Factors
Details
Page Title
Dallas County, IA | Official Website
Scan Type
public
Language
English
Category
government public service
(90%)Domain Information
The domain name 'dallascountyiowa.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'dallascountyiowa' covers 16 characters holding 7 vowels versus nine consonants. Tokenizing the label suggests three words: dallas, county, iowa. Median word length comes out to six characters. 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 |
|---|---|---|---|
| 56 | 207.38.78.31 | United States | AS36489NETSOLUS-NETWORKS |
| 12 | 104.18.28.155 | United States | AS13335CLOUDFLARENET |
| 9 | 142.250.186.131 | United States | AS15169GOOGLE |
| 5 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 54.186.57.55 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 216.58.206.42 | United States | AS15169GOOGLE |
| 4 | 2620:1ec:46::44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 2606:4700::6812:1d9b | United States | AS13335CLOUDFLARENET |
| 4 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 89 | 22 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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