Summary
This website contacted 13 IPs in 2 countries across 6 domains to perform 159 HTTP transactions. The main domain is pocahontascounty.iowa.gov and was registered NaN years ago.
Submitted URL: https://pocahontascounty.iowa.gov/
The Cisco Umbrella rank of the primary domain is #50,431 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Site appears legitimate; minor risk due to external link to a flagged domain.
Risk Factors
Safety Factors
Details
Page Title
Pocahontas County, Iowa
Scan Type
public
Language
English
Category
technology software
(84%)Domain Information
The domain name 'pocahontascounty.iowa.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'pocahontascounty'. The registrable portion 'iowa' spans 4 characters holding three vowels versus one consonant. Splitting it apart reveals 1 word: iowa. Median word length is four 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 |
|---|---|---|---|
| 114 | 72.52.229.127 | United States | AS32244LIQUIDWEB |
| 12 | 216.239.34.36 | United States | AS15169GOOGLE |
| 12 | 2a00:1450:4001:82f::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 12 | 2a00:1450:4001:831::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 12 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 12 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 12 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 12 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 142.250.186.99 | United States | AS15169GOOGLE |
| 4 | 142.250.185.234 | United States | AS15169GOOGLE |
| 159 | 13 | - | - |
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
Other Hashes
Scan History
Scan history not available
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