Summary
This website contacted 17 IPs in 2 countries across 15 domains to perform 44 HTTP transactions. The main domain is lucindaagilchrist.pages.dev and was registered NaN years ago.
Submitted URL: https://lucindaagilchrist.pages.dev/mkmjf-social-security-cost-of-living-increase-2025-kywqq/
AI Security Verdict
High Risk
Confidence: 94%
Site is malicious and likely used for phishing; do not trust.
Risk Factors
Details
Page Title
Social Security Cost Of Living Increase 2025 - Lucinda A Gilchrist
Scan Type
public
Language
English
Category
government public service
(43%)Domain Information
The domain name 'lucindaagilchrist.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'lucindaagilchrist'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. Segmentation suggests 1 word: pages. The median word length lands at 5 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 |
|---|---|---|---|
| 11 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 2 | 104.19.154.92 | United States | AS13335CLOUDFLARENET |
| 2 | 13.226.244.20 | United States | AS16509AMAZON-02 |
| 2 | 104.26.12.221 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.47.155 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.44.101 | United States | AS13335CLOUDFLARENET |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 2 | 104.196.197.161 | North Charleston, South Carolina, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 146.75.122.152 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 43 | 17 | - | - |
Detected Technologies11
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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