Summary
This website contacted 14 IPs in 2 countries across 14 domains to perform 1 HTTP transaction. The main domain is georgiajmolvig.pages.dev and was registered NaN years ago.
Submitted URL: https://georgiajmolvig.pages.dev/lstma-irs-rmd-tables-2025-gdpiv/
AI Security Verdict
Low Risk
Confidence: 78%
Informational page on an unranked subdomain; low risk but verify with official sources
Risk Factors
Safety Factors
Details
Page Title
Irs Rmd Tables 2025 - Georgia J Molvig
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain 'georgiajmolvig.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'georgiajmolvig'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. It segments into one 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 |
|---|---|---|---|
| 8 | 172.67.175.52 | United States | AS13335Cloudflare, Inc. |
| 3 | 147.93.93.62 | Paris, Île-de-France, France | AS47583Hostinger International Limited |
| 3 | 150.171.28.10 | United States | AS8075Microsoft Corporation |
| 3 | 172.217.16.170 | United States | AS15169Google LLC |
| 3 | 172.66.169.241 | France | |
| 3 | 208.109.27.159 | United States | AS398101GoDaddy.com, LLC |
| 3 | 104.16.150.108 | United States | AS13335Cloudflare, Inc. |
| 3 | 198.202.211.1 | United States | AS209242Cloudflare London, LLC |
| 3 | 162.241.219.140 | Phoenix, Arizona, United States | AS31898Oracle Corporation |
| 3 | 172.67.146.86 | France | Unknown |
| 47 | 14 | - | - |
Detected Technologies12
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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