Summary
This website contacted 94 IPs in 2 countries across 25 domains to perform 288 HTTP transactions. The main domain is sugargroveil.gov and was registered NaN years ago.
Submitted URL: https://www.sugargroveil.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.
Page Title
Village of Sugar Grove, Illinois website homepage.
Scan Type
public
Language
English
Category
government public service
(85%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.sugargroveil.gov' is registered and includes subdomain 'www'. Count 12 characters in 'sugargroveil' with 5 vowels and seven consonants. It segments into three words: sugar, grove, il. Expect five characters per word on average. The linguistic tilt is Italian for 'sugar'. You will also see it in French and Catalan 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 |
|---|---|---|---|
| 9 | 54.192.35.89 | United States | AS16509AMAZON-02 |
| 3 | 99.84.152.117 | United States | AS16509AMAZON-02 |
| 3 | 18.66.112.14 | United States | |
| 3 | 184.72.75.195 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 172.67.218.10 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.184.196 | United States | AS15169GOOGLE |
| 3 | 52.4.111.181 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 18.210.233.204 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 18.66.112.74 | United States | Unknown |
| 3 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 288 | 94 | - | - |
Detected Technologies1
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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