Summary
This website contacted 13 IPs in 2 countries across 14 domains to perform 2 HTTP transactions. The main domain is rubycmorres.pages.dev and was registered NaN years ago.
Submitted URL: https://rubycmorres.pages.dev/iczbs-social-security-pay-schedule-2025-ssa-zdogp/
AI Security Verdict
Low Risk
Confidence: 82%
The page is self‑branded, contains only informational content and search forms, and shows no malicious indicators.
Safety Factors
Details
Page Title
Social Security Pay Schedule 2025 Ssa - Ruby C. Morres
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
The domain 'rubycmorres.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'rubycmorres'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Segmentation suggests 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 |
|---|---|---|---|
| 3 | 192.0.73.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 3 | 142.251.14.132Google · CDN | United States | AS15169Google LLC |
| 3 | 172.67.212.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 172.66.44.93Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 146.75.121.140Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 35.215.104.236Google · CDN | Los Angeles, California, United States | AS15169Google LLC |
| 3 | 172.66.169.241Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 142.251.20.119Google · CDN | United States | AS15169Google LLC |
| 3 | 134.209.45.143 | Clifton, New Jersey, United States | AS14061DigitalOcean, LLC |
| 3 | 150.171.28.10Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 39 | 13 | - | - |
Page Statistics
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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