Summary
This website contacted 17 IPs in 3 countries across 15 domains to perform 52 HTTP transactions. The main domain is nataliepkondo.pages.dev and was registered NaN years ago.
Submitted URL: https://nataliepkondo.pages.dev/ifuh-social-security-max-2025-withholding-xblis/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Social Security Max 2025 Withholding - Natalie P. Kondo
Scan Type
public
Language
English
Category
adult content
(50%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'nataliepkondo.pages.dev' is registered; it also runs on subdomain 'nataliepkondo'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. It segments into 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 |
|---|---|---|---|
| 4 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 3 | 146.75.121.171 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 3 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 136.243.106.228 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 3 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 3 | 108.138.26.115 | United States | AS16509AMAZON-02 |
| 3 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 3 | 104.26.15.73 | United States | AS13335CLOUDFLARENET |
| 52 | 17 | - | - |
Detected Technologies10
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
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