Summary
This website contacted 21 IPs in 2 countries across 15 domains to perform 31 HTTP transactions. The main domain is nortizleah.pages.dev and was registered NaN years ago.
Submitted URL: https://nortizleah.pages.dev/puupl-social-security-increase-2025-calculator-cdmjs/
AI Security Verdict
High Risk
Confidence: 95%
Site is high‑risk due to malicious primary domain despite lack of credential fields.
Risk Factors
Details
Page Title
Social Security Increase 2025 Calculator - N Ortiz Leah
Scan Type
public
Language
English
Category
news media journalism
(63%)Domain Information
The domain 'nortizleah.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'nortizleah'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Splitting it apart reveals 1 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 |
|---|---|---|---|
| 12 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 1 | 150.171.28.10 | Sweden | |
| 1 | 23.216.77.25 | United States | |
| 1 | 146.75.122.208 | Unknown | |
| 1 | 104.20.35.227 | United States | AS13335CLOUDFLARENET |
| 1 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 1 | 172.66.151.162 | Unknown | Unknown |
| 1 | 146.75.121.175 | Unknown | Unknown |
| 1 | 141.193.213.10 | Unknown | Unknown |
| 1 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 32 | 21 | - | - |
Detected Technologies13
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
Unable to load historical scan data