Summary
API
This website contacted 13 IPs in 2 countries across 13 domains to perform 185 HTTP transactions. The main domain is locations.familydollar.com and was registered 30 years ago.
Submitted URL: https://locations.familydollar.com/ga/atlanta/3050-martin-luther-king-dr-sw
The Cisco Umbrella rank of the primary domain is #184,417 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Family Dollar store locator page with no security concerns.
Safety Factors
Details
Page Title
Family Dollar Store in Atlanta, GA
Scan Type
public
Domain Name Analysis
You're looking at domain 'locations.familydollar.com' on the commercial generic top-level domain (.com), featuring subdomain 'locations'. The registrable portion 'familydollar' spans 12 characters holding 4 vowels versus eight consonants. Tokenizing the label suggests two words: family, dollar. Expect six 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 |
|---|---|---|---|
| 17 | 142.250.186.170 | United States | AS15169GOOGLE |
| 14 | 142.250.185.163 | United States | AS20940Akamai International B.V. |
| 14 | 172.64.145.185 | United States | AS13335CLOUDFLARENET |
| 14 | 216.239.32.36 | United States | AS15169GOOGLE |
| 14 | 142.250.185.168 | United States | Unknown |
| 14 | 172.64.144.71 | United States | AS13335CLOUDFLARENET |
| 14 | 104.19.180.86 | United States | AS13335CLOUDFLARENET |
| 14 | 108.177.15.157 | United States | Unknown |
| 14 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 14 | 104.18.1.100 | United States | AS13335CLOUDFLARENET |
| 185 | 13 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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