Summary
This website contacted 60 IPs in 2 countries across 15 domains to perform 37 HTTP transactions. The main domain is tysonhugoa.pages.dev and was registered NaN years ago.
Submitted URL: https://tysonhugoa.pages.dev/noulr-social-security-cola-2025-prediction-chart-qlrcy/
AI Security Verdict
High Risk
Confidence: 85%
Site mimics Social Security information on a non‑official domain, posing a high‑risk phishing threat.
Risk Factors
Details
Page Title
Social Security Cola 2025 Prediction Chart - Tyson Hugo
Scan Type
public
Language
English
Category
government public service
(61%)Domain Information
The domain 'tysonhugoa.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'tysonhugoa'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. It segments into 1 word: pages. The median word length lands at 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 |
|---|---|---|---|
| 37 | 172.66.44.205 | United States | AS13335CLOUDFLARENET |
| 0 | 172.67.212.207 | United States | AS13335CLOUDFLARENET |
| 0 | 23.36.162.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 172.66.47.51 | United States | AS13335CLOUDFLARENET |
| 0 | 15.197.142.196 | United States | AS16509AMAZON-02 |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 151.101.66.159 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 172.240.108.76 | United States | AS7979SERVERS-COM |
| 0 | 142.250.186.118 | United States | AS15169GOOGLE |
| 0 | 142.251.140.182 | United States | AS15169GOOGLE |
| 37 | 60 | - | - |
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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