Summary
This website contacted 24 IPs in 2 countries across 17 domains to perform 38 HTTP transactions. The main domain is sarahlouatj.pages.dev and was registered NaN years ago.
Submitted URL: https://sarahlouatj.pages.dev/oiuts-social-security-benefits-payment-calendar-2025-calendar-2025-pupts/
AI Security Verdict
High Risk
Confidence: 92%
High‑risk phishing site impersonating Social Security; avoid and report.
Risk Factors
Details
Page Title
Social Security Benefits Payment Calendar 2025 Calendar 2025 - Sarah J. Louat
Scan Type
public
Language
English
Category
adult content
(40%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'sarahlouatj.pages.dev' is registered and includes subdomain 'sarahlouatj'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. Splitting it apart reveals one 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 |
|---|---|---|---|
| 21 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.71.34 | Netherlands | |
| 1 | 172.66.44.150 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.202 | Netherlands | |
| 1 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 1 | 104.21.18.46 | United States | AS13335CLOUDFLARENET |
| 1 | 160.153.0.38 | United States | AS209242Cloudflare London, LLC |
| 1 | 172.240.108.84 | Netherlands | |
| 1 | 172.217.18.3 | United States | AS15169GOOGLE |
| 1 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 44 | 24 | - | - |
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
Scan history not available
Unable to load historical scan data