Summary
This website contacted 40 IPs in 2 countries across 13 domains to perform 37 HTTP transactions. The main domain is lucasharrietm.pages.dev and was registered NaN years ago.
Submitted URL: https://lucasharrietm.pages.dev/lovvv-social-security-budget-2025-gsnky/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate informational site with no apparent security threats.
Safety Factors
Details
Page Title
Social Security Budget 2025 - Lucas M. Harriet
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'lucasharrietm.pages.dev' is registered with subdomain 'lucasharrietm'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Splitting it apart reveals 1 word: pages. 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 |
|---|---|---|---|
| 37 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 104.154.16.57 | Council Bluffs, Iowa, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 172.67.75.107 | United States | AS13335CLOUDFLARENET |
| 0 | 146.75.122.92 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 104.26.1.31 | United States | AS13335CLOUDFLARENET |
| 0 | 104.26.15.73 | United States | AS13335CLOUDFLARENET |
| 0 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 37 | 40 | - | - |
Detected Technologies9
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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