Summary
This website contacted 18 IPs in 3 countries across 18 domains to perform 41 HTTP transactions. The main domain is barbaraaritterc.pages.dev and was registered NaN years ago.
Submitted URL: https://barbaraaritterc.pages.dev/mtnsn-social-security-2025-increase-announcement-yakuf/
AI Security Verdict
High Risk
Confidence: 85%
High‑risk phishing site impersonating Social Security; do not provide any personal information.
Risk Factors
Details
Page Title
Social Security 2025 Increase Announcement - Barbara A Ritter
Scan Type
public
Language
English
Category
documentation technical
(84%)Domain Information
Domain 'barbaraaritterc.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'barbaraaritterc'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. Tokenizing the label suggests 1 word: pages. Expect 5 characters per word on average. 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 |
|---|---|---|---|
| 12 | 108.138.26.115 | United States | |
| 1 | 198.50.223.48 | Canada | AS16276OVH SAS |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 52.5.159.58 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 104.19.154.92 | United States | AS13335CLOUDFLARENET |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.69.154 | Unknown | |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 29 | 18 | - | - |
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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