Summary
This website contacted 52 IPs in 3 countries across 11 domains to perform 49 HTTP transactions. The main domain is sdarcc.gov and was registered NaN years ago.
Submitted URL: https://www.sdarcc.gov/
The Cisco Umbrella rank of the primary domain is #861,114 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate San Diego County government portal with minimal risk.
Safety Factors
Details
Page Title
Home
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'www.sdarcc.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'sdarcc' is 6 characters long with 1 vowel and five consonants. Word splitting yields 2 words: sd, arcc. Median word length comes out to three characters. 'sd' is most common in Indonesian usage. Usage also turns up in Sinhala and Danish 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 |
|---|---|---|---|
| 49 | 18.203.61.82 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 142.250.186.106 | United States | AS15169GOOGLE |
| 0 | 63.35.126.174 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 0 | 172.217.18.14 | United States | AS15169GOOGLE |
| 0 | 184.30.17.91 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 63.140.62.236 | United States | AS16509AMAZON-02 |
| 0 | 23.39.229.72 | Philadelphia, Pennsylvania, United States | AS20940Akamai International B.V. |
| 0 | 142.250.186.131 | United States | AS15169GOOGLE |
| 0 | 63.140.62.200 | United States | AS16509AMAZON-02 |
| 0 | 52.49.22.152 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 49 | 52 | - | - |
Detected Technologies2
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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