Summary
This website contacted 91 IPs in 2 countries across 17 domains to perform 182 HTTP transactions. The main domain is fallscityoregon.gov and was registered NaN years ago.
Submitted URL: https://www.fallscityoregon.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate city website with no security concerns.
Safety Factors
Details
Page Title
Home | City of Falls City
Scan Type
public
Language
English
Category
government public service
(50%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.fallscityoregon.gov' is registered and includes subdomain 'www'. The core label 'fallscityoregon' covers 15 characters with five vowels and 10 consonants. Segmentation suggests 3 words: falls, city, oregon. Expect 5 characters per word on average. 'falls' most strongly signals Chinese (Pinyin). It also appears in English 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 |
|---|---|---|---|
| 95 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 42 | 142.250.186.42 | United States | AS15169GOOGLE |
| 8 | 54.146.133.43 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 7 | 3.167.227.123 | United States | AS16509AMAZON-02 |
| 7 | 216.58.206.35 | United States | AS15169GOOGLE |
| 3 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.185.195 | United States | AS15169GOOGLE |
| 3 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.181.234 | United States | AS15169GOOGLE |
| 182 | 91 | - | - |
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
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