Summary
This website contacted 69 IPs in 3 countries across 18 domains to perform 185 HTTP transactions. The main domain is cityofaltonil.gov and was registered NaN years ago.
Submitted URL: https://cityofaltonil.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Home - City of Alton
Scan Type
public
Language
English
Category
government public service
(92%)Domain Information
The domain 'cityofaltonil.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'cityofaltonil' is 13 characters long containing five vowels alongside eight consonants. Segmentation suggests 4 words: city, of, alton, il. Average segment length settles at three characters. 'city' is most common in Italian usage. You may catch it in Chinese (Pinyin) and English as well. Overall, 'cityofaltonil.gov' reads as Italian.
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 |
|---|---|---|---|
| 49 | 142.250.186.74 | United States | AS15169GOOGLE |
| 2 | 5.100.156.134 | London, England, United Kingdom | AS2635AUTOMATTIC |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 3.160.150.46 | United States | AS16509AMAZON-02 |
| 2 | 104.16.160.145 | United States | AS13335CLOUDFLARENET |
| 2 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 52.29.185.46 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 2 | 143.204.98.51 | United States | AS16509AMAZON-02 |
| 2 | 52.222.136.97 | United States | AS16509AMAZON-02 |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 185 | 69 | - | - |
Detected Technologies13
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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