Summary
This website contacted 44 IPs in 2 countries across 13 domains to perform 48 HTTP transactions. The main domain is sophiesthirkell.pages.dev.
Submitted URL: https://sophiesthirkell.pages.dev/skiyf-social-security-irmaa-tables-2025-cgkij/
AI Security Verdict
High Risk
Confidence: 88%
Impersonates Social Security on a new, unranked domain – likely a phishing site.
Risk Factors
Details
Page Title
Social Security Irmaa Tables 2025 - Sophie S. Thirkell
Scan Type
public
Language
English
Category
healthcare medical
(71%)Domain Information
Within the developer-focused generic top-level domain (.dev), 'sophiesthirkell.pages.dev' is registered, featuring subdomain 'sophiesthirkell'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Word splitting yields 1 word: pages. The median word length lands at 5 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 |
|---|---|---|---|
| 5 | 13.33.235.88 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 172.66.44.210 | United States | AS13335CLOUDFLARENET |
| 1 | 8.6.112.0 | United States | AS13335CLOUDFLARENET |
| 1 | 8.47.69.0 | United States | AS13335CLOUDFLARENET |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 173.254.29.56 | United States | AS46606UNIFIEDLAYER-AS-1 |
| 1 | 3.14.185.238 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 1 | 172.240.108.68 | United States | AS7979SERVERS-COM |
| 1 | 65.109.39.175 | Helsinki, Uusimaa, Finland | AS24940Hetzner Online GmbH |
| 48 | 44 | - | - |
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
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