Summary
This website contacted 67 IPs in 2 countries across 15 domains to perform 26 HTTP transactions. The main domain is hbadhamalexis.pages.dev and was registered NaN years ago.
Submitted URL: https://hbadhamalexis.pages.dev/movfa-social-security-pay-raise-in-2025-vswhi
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
Social Security Pay Raise In 2025 - H Badham Alexis
Scan Type
public
Language
English
Category
government public service
(37%)Domain Information
The domain name 'hbadhamalexis.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'hbadhamalexis'. Count 5 characters in 'pages' with two vowels and three consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at five 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 |
|---|---|---|---|
| 26 | 146.75.120.200 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 0 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 0 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 0 | 2.16.168.118 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 104.18.38.162 | United States | AS13335CLOUDFLARENET |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 18.66.122.39 | United States | AS16509AMAZON-02 |
| 0 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 26 | 67 | - | - |
Detected Technologies7
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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