Summary
This website contacted 28 IPs in 3 countries across 16 domains to perform 38 HTTP transactions. The main domain is jkaiabby.pages.dev and was registered NaN years ago.
Submitted URL: https://jkaiabby.pages.dev/huufm-social-security-payment-schedule-2025-january-calendar-plptl/
AI Security Verdict
High Risk
Confidence: 85%
High risk phishing site impersonating Social Security; do not trust or provide personal information.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2025 January Calendar - J Kai Abby
Scan Type
public
Language
English
Category
government public service
(87%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'jkaiabby.pages.dev' is registered with subdomain 'jkaiabby'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. It segments into 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 |
|---|---|---|---|
| 11 | 142.251.38.67 | United States | AS15169GOOGLE |
| 1 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 1 | 108.167.156.41 | Ashburn, Virginia, United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 1 | 8.47.69.0 | United States | AS13335CLOUDFLARENET |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 216.58.209.170 | United States | AS15169GOOGLE |
| 1 | 45.223.102.78 | United States | AS19551INCAPSULA |
| 1 | 8.6.112.0 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.47.77 | United States | AS13335CLOUDFLARENET |
| 38 | 28 | - | - |
Detected Technologies8
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