Summary
This website contacted 62 IPs in 2 countries across 13 domains to perform 82 HTTP transactions. The main domain is watertown-ny.gov and was registered NaN years ago.
Submitted URL: https://www.watertown-ny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate city government website with no security concerns.
Safety Factors
Details
Page Title
City of Watertown, New York - Home Page
Scan Type
public
Language
English
Category
government public service
(57%)Domain Information
The domain name 'www.watertown-ny.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The registrable portion 'watertown-ny' spans 12 characters with three vowels and eight consonants, along with one hyphen. Tokenizing the label suggests two words: watertown, ny. The median word length lands at 5.5 characters. 'watertown' most often appears in Indonesian. Usage also turns up in Malay and Vietnamese 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 |
|---|---|---|---|
| 21 | 143.204.98.36 | United States | AS16509AMAZON-02 |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.251.140.174 | United States | AS15169GOOGLE |
| 1 | 143.204.98.35 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.3 | United States | AS16509AMAZON-02 |
| 1 | 3.161.82.27 | United States | AS16509AMAZON-02 |
| 1 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 52.36.138.76 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.185.132 | United States | AS15169GOOGLE |
| 1 | 3.174.46.21 | United States | AS16509AMAZON-02 |
| 82 | 62 | - | - |
Detected Technologies8
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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