Summary
This website contacted 16 IPs in 2 countries across 17 domains to perform 59 HTTP transactions. The main domain is faricafthrosella.pages.dev and was registered NaN years ago.
Submitted URL: https://faricafthrosella.pages.dev/vdbsgdm-2025-social-security-adjustment-for-2025-increase-photos-eizfcvl/
AI Security Verdict
Low Risk
Confidence: 85%
Informational page with no malicious indicators; low risk.
Safety Factors
Details
Page Title
Social Security Adjustment For 2025 Increase - Ambur Wilone
Scan Type
public
Language
English
Category
government public service
(49%)Domain Information
Domain 'faricafthrosella.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'faricafthrosella'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three 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 |
|---|---|---|---|
| 14 | 104.196.233.173 | The Dalles, Oregon, United States | AS396982Google LLC |
| 3 | 216.58.206.74 | Germany | |
| 3 | 172.240.127.244 | United States | AS7979Servers.com, Inc. |
| 3 | 104.18.38.162 | Germany | |
| 3 | 172.66.169.241 | United States | AS13335Cloudflare, Inc. |
| 3 | 104.16.79.6 | United States | AS13335Cloudflare, Inc. |
| 3 | 2.16.10.178 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 34.135.22.150 | Council Bluffs, Iowa, United States | AS396982Google LLC |
| 3 | 150.171.28.10 | United States | AS8075Microsoft Corporation |
| 3 | 104.21.76.185 | United States | AS13335Cloudflare, Inc. |
| 59 | 16 | - | - |
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