Summary
This website contacted 59 IPs in 4 countries across 15 domains to perform 41 HTTP transactions. The main domain is jenniferitom.pages.dev.
Submitted URL: https://jenniferitom.pages.dev/lgij-social-security-payment-schedule-2025-january-zhpsp/
AI Security Verdict
High Risk
Confidence: 75%
Site likely attempts Social Security phishing; treat as high‑risk and do not provide any personal information.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2025 January - Jennifer Ito M.
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'jenniferitom.pages.dev' is registered with subdomain 'jenniferitom'. The core label 'pages' covers 5 characters 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 |
|---|---|---|---|
| 41 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 216.58.206.67 | United States | AS15169GOOGLE |
| 0 | 172.67.71.34 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 172.67.75.142 | United States | AS13335CLOUDFLARENET |
| 0 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 0 | 172.66.40.135 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 173.212.192.14 | Lauterbourg, Grand Est, France | AS51167Contabo GmbH |
| 0 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 41 | 59 | - | - |
Detected Technologies7
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