Summary
This website contacted 20 IPs in 3 countries across 7 domains to perform 31 HTTP transactions. The main domain is dowellillinois.gov and was registered NaN years ago.
Submitted URL: https://www.dowellillinois.gov/
Effective URL: https://www.dowellillinois.gov/landerRedirected
AI Security Verdict
Low Risk
Confidence: 88%
Parked GoDaddy page on a .gov domain; low risk but not an official government site.
Risk Factors
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Domain Information
The domain name 'www.dowellillinois.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'dowellillinois' is 14 characters long holding 6 vowels versus eight consonants. Tokenizing the label suggests two words: dowell, illinois. Average segment length settles at seven characters. The linguistic tilt is Vietnamese for 'dorwell'. Usage also turns up in English and Chinese (Pinyin) contexts. Taken together, it feels Vietnamese.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 172.217.16.196 | United States | AS15169GOOGLE |
| 1 | 15.197.148.33 | United States | AS16509AMAZON-02 |
| 1 | 13.226.244.36 | United States | AS16509AMAZON-02 |
| 1 | 18.66.122.49 | United States | AS16509AMAZON-02 |
| 1 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 13.226.244.125 | United States | AS16509AMAZON-02 |
| 1 | 18.66.122.116 | United States | AS16509AMAZON-02 |
| 1 | 13.32.121.61 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 18.66.122.97 | United States | AS16509AMAZON-02 |
| 31 | 20 | - | - |
Detected Technologies2
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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