Summary
This website contacted 47 IPs in 2 countries across 8 domains to perform 99 HTTP transactions. The main domain is townofbinghamton.gov and was registered NaN years ago.
Submitted URL: https://townofbinghamton.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate municipal website with no apparent security threats.
Safety Factors
Details
Page Title
Town of Binghamton NY | A Great Place to Live!
Scan Type
public
Language
English
Category
government public service
(87%)Domain Information
The domain 'townofbinghamton.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'townofbinghamton' spans 16 characters split between five vowels and eleven consonants. Splitting it apart reveals three words: town, of, binghamton. Median word length comes out to 4 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. You will also see it in English and Dutch contexts. Overall, 'townofbinghamton.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 7 | 142.250.181.232 | United States | AS15169GOOGLE |
| 2 | 142.250.185.99 | United States | AS15169GOOGLE |
| 2 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 216.58.206.46 | United States | AS15169GOOGLE |
| 2 | 172.217.18.10 | United States | AS15169GOOGLE |
| 2 | 45.79.151.167 | Cedar Knolls, New Jersey, United States | AS63949Akamai Connected Cloud |
| 2 | 195.181.175.41 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 2 | 52.26.66.123 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 99 | 47 | - | - |
Detected Technologies9
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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