Summary
This website contacted 139 IPs in 3 countries across 28 domains to perform 118 HTTP transactions. The main domain is cityofredlands.org.
Submitted URL: https://www.cityofredlands.org/
The Cisco Umbrella rank of the primary domain is #961,935 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 85%
Site appears to be a legitimate municipal website with standard login functionality.
Safety Factors
Details
Page Title
City of Redlands
Scan Type
public
Language
English
Category
healthcare medical
(41%)Domain Information
The domain name 'www.cityofredlands.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Its registrable label 'cityofredlands' stretches across 14 characters split between 4 vowels and 10 consonants. Breaking it apart gives 3 words: city, of, redlands. Median word length is four characters. 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 |
|---|---|---|---|
| 118 | 23.32.238.187 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 29 | 23.21.2.96 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 25 | 23.185.0.2 | United States | AS54113FASTLY |
| 9 | 142.250.184.227 | United States | AS15169GOOGLE |
| 8 | 142.250.184.238 | United States | AS15169GOOGLE |
| 5 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 169.150.247.34 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 45.77.86.72 | Los Angeles, California, United States | AS20473AS-VULTR |
| 4 | 104.18.15.80 | United States | AS13335CLOUDFLARENET |
| 2 | 23.23.101.133 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 118 | 139 | - | - |
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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