Summary
This website contacted 20 IPs in 2 countries across 16 domains to perform 45 HTTP transactions. The main domain is jsheppardflynn.pages.dev and was registered NaN years ago.
Submitted URL: https://jsheppardflynn.pages.dev/tnjpz-social-security-2025-benefits-calendar-mohoz/
AI Security Verdict
High Risk
Confidence: 95%
High‑risk malicious site impersonating Social Security; do not trust.
Risk Factors
Details
Page Title
Social Security 2025 Benefits Calendar - J Sheppard Flynn
Scan Type
public
Language
English
Category
documentation technical
(73%)Domain Information
Domain 'jsheppardflynn.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'jsheppardflynn'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. Average segment length settles at five characters. 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 |
|---|---|---|---|
| 16 | 13.33.187.20 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 160.153.0.38 | United States | AS209242Cloudflare London, LLC |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 1 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.43.121 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.62.69 | Netherlands | |
| 1 | 142.251.141.97 | United States | AS15169GOOGLE |
| 1 | 142.251.141.106 | United States | AS15169GOOGLE |
| 1 | 172.66.169.241 | Netherlands | Unknown |
| 35 | 20 | - | - |
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
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