Summary
This website contacted 17 IPs in 3 countries across 14 domains to perform 47 HTTP transactions. The main domain is cameronabbyb.pages.dev and was registered NaN years ago.
Submitted URL: https://cameronabbyb.pages.dev/ipzyu-social-security-income-limit-2025-increase-dtmto/
AI Security Verdict
High Risk
Confidence: 92%
Site is high‑risk due to malicious primary domain and brand impersonation.
Risk Factors
Details
Page Title
Social Security Income Limit 2025 Increase - Cameron Abby B
Scan Type
public
Language
English
Category
government public service
(56%)Domain Information
The domain name 'cameronabbyb.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'cameronabbyb'. Count 5 characters in 'pages' holding 2 vowels versus three consonants. Breaking it apart gives one word: pages. 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 |
|---|---|---|---|
| 2 | 176.9.114.118 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.44.181 | United States | AS13335CLOUDFLARENET |
| 2 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 2 | 104.196.233.173 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 18.66.122.19 | Unknown | |
| 2 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.47.75 | United States | AS13335CLOUDFLARENET |
| 34 | 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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