Summary
This website contacted 13 IPs in 1 country across 14 domains to perform 28 HTTP transactions. The main domain is felisaarndt.pages.dev and was registered NaN years ago.
Submitted URL: https://felisaarndt.pages.dev/flsics-social-security-pay-dates-2025-calendar-rndtlgqv/
AI Security Verdict
Moderate Risk
Confidence: 72%
Page shows no malicious activity but unknown subdomain age and high JS obfuscation warrant moderate caution.
Risk Factors
Safety Factors
Details
Page Title
Social Security Pay Dates 2025 Calendar - Felisa Arndt
Scan Type
public
Language
English
Category
adult content
(45%)Domain Information
The domain name 'felisaarndt.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'felisaarndt'. The registrable portion 'pages' spans 5 characters containing two vowels alongside three consonants. Word splitting yields 1 word: pages. Average segment length settles 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 |
|---|---|---|---|
| 5 | 142.251.37.1 | United States | |
| 3 | 150.171.28.10 | United States | AS8075Microsoft Corporation |
| 3 | 142.251.140.170 | United States | |
| 3 | 134.209.45.143 | Clifton, New Jersey, United States | AS14061DigitalOcean, LLC |
| 3 | 67.227.189.78 | United States | AS32244Liquid Web, L.L.C |
| 3 | 104.21.62.69 | United States | AS13335Cloudflare, Inc. |
| 3 | 173.236.141.159 | United States | AS26347New Dream Network, LLC |
| 3 | 104.20.23.96 | United States | Unknown |
| 3 | 188.114.97.3 | United States | Unknown |
| 3 | 209.59.168.98 | United States | AS32244Liquid Web, L.L.C |
| 41 | 13 | - | - |
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
Unable to load historical scan data