Summary
This website contacted 22 IPs in 4 countries across 8 domains to perform 134 HTTP transactions. The main domain is standishtownship.gov and was registered NaN years ago.
Submitted URL: https://standishtownship.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate township website with no apparent security threats.
Safety Factors
Details
Page Title
Standish Township
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain 'standishtownship.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'standishtownship' is 16 characters long holding 4 vowels versus 12 consonants. Tokenizing the label suggests two words: standish, township. Expect eight characters per word on average. The linguistic tilt is English for 'standish'. You will also see it in Chinese (Pinyin) and German 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 |
|---|---|---|---|
| 8 | 23.73.0.164 | Haarlem, North Holland, Netherlands | AS20940Akamai International B.V. |
| 6 | 142.250.186.74 | United States | AS15169GOOGLE |
| 6 | 160.153.0.160 | United States | AS209242Cloudflare London, LLC |
| 6 | 18.245.86.95 | United States | AS16509AMAZON-02 |
| 6 | 104.102.33.89 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 172.65.186.160 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.181.234 | United States | AS15169GOOGLE |
| 6 | 23.73.0.160 | Haarlem, North Holland, Netherlands | AS20940Akamai International B.V. |
| 6 | 142.250.185.131 | United States | AS15169GOOGLE |
| 6 | 2a00:1450:4001:82b::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 134 | 22 | - | - |
Detected Technologies18
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
Unable to load historical scan data