Summary
This website contacted 47 IPs in 3 countries across 18 domains to perform 38 HTTP transactions. The main domain is jamesdwienholt.pages.dev.
Submitted URL: https://jamesdwienholt.pages.dev/nmznj-social-security-tax-limit-2025-married-filing-jointly-ibpjb/
AI Security Verdict
Moderate Risk
Confidence: 75%
Site mimics Google on an unranked domain; moderate phishing risk.
Risk Factors
Safety Factors
Details
Page Title
Social Security Tax Limit 2025 Married Filing Jointly - James D. Wienholt
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
The domain name 'jamesdwienholt.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'jamesdwienholt'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Word splitting yields one 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 |
|---|---|---|---|
| 38 | 44.242.87.186 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 104.26.15.73 | United States | AS13335CLOUDFLARENET |
| 0 | 2.16.241.220 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 142.250.184.195 | United States | AS15169GOOGLE |
| 0 | 160.153.0.43 | United States | AS209242Cloudflare London, LLC |
| 0 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 172.240.108.76 | United States | AS7979SERVERS-COM |
| 0 | 162.241.226.76 | Phoenix, Arizona, United States | AS46606UNIFIEDLAYER-AS-1 |
| 0 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 0 | 212.32.255.111 | Netherlands | AS60781LeaseWeb Netherlands B.V. |
| 38 | 47 | - | - |
Detected Technologies8
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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