Summary
This website contacted 14 IPs in 3 countries across 14 domains to perform 34 HTTP transactions. The main domain is jamesjwisemane.pages.dev and was registered NaN years ago.
Submitted URL: https://jamesjwisemane.pages.dev/pjnnq-social-security-income-limit-2025-increase-kkcuv/
AI Security Verdict
Safe Website
Confidence: 95%
No suspicious activity detected; site appears to be legitimate informational content.
Safety Factors
Details
Page Title
Social Security Income Limit 2025 Increase - James J Wiseman
Scan Type
public
Language
English
Category
government public service
(54%)Domain Information
The domain 'jamesjwisemane.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'jamesjwisemane'. The registrable portion 'pages' spans 5 characters split between two vowels and 3 consonants. Word splitting yields 1 word: pages. Median word length comes out to 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 |
|---|---|---|---|
| 9 | 172.67.71.34 | United States | AS13335CLOUDFLARENET |
| 2 | 176.9.114.118 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 172.66.47.108 | United States | AS13335CLOUDFLARENET |
| 2 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 2 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 199.60.103.30 | United States | AS209242Cloudflare London, LLC |
| 2 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 2 | 150.171.27.10 | Unknown | Unknown |
| 2 | 18.66.147.12 | United States | AS16509AMAZON-02 |
| 2 | 108.138.26.38 | Unknown | Unknown |
| 35 | 14 | - | - |
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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