Summary
This website contacted 10 IPs in 3 countries across 11 domains to perform 78 HTTP transactions. The main domain is townofcorningny.gov.
Submitted URL: https://townofcorningny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Town of Corning
Scan Type
public
Language
English
Category
social media network
(64%)Domain Information
The domain 'townofcorningny.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'townofcorningny' covers 15 characters holding four vowels versus 11 consonants. Tokenizing the label suggests 4 words: town, of, corning, ny. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.
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 | 192.0.78.137 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 157.240.202.1 | Saint-Denis, Île-de-France, France | AS32934FACEBOOK |
| 7 | 192.0.78.245 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.78.23 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 192.0.78.22 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 2a03:2880:f37a:80:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 78 | 10 | - | - |
Detected Technologies7
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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