Summary
This website contacted 41 IPs in 2 countries across 15 domains to perform 48 HTTP transactions. The main domain is sophiesthirkell.pages.dev.
Submitted URL: https://sophiesthirkell.pages.dev/skiyf-social-security-check-schedule-2025-cgkij/
AI Security Verdict
High Risk
Confidence: 85%
Site mimics Social Security on an untrusted, likely new domain; high‑risk phishing.
Risk Factors
Details
Page Title
Social Security Check Schedule 2025 - Sophie S. Thirkell
Scan Type
public
Language
English
Category
government public service
(77%)Domain Information
You're looking at domain 'sophiesthirkell.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'sophiesthirkell'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals one word: pages. Expect five 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 |
|---|---|---|---|
| 8 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.212.207 | United States | AS13335CLOUDFLARENET |
| 1 | 172.66.40.135 | United States | AS13335CLOUDFLARENET |
| 1 | 45.223.102.78 | United States | AS19551INCAPSULA |
| 1 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.69.200 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 172.240.253.132 | United States | AS7979SERVERS-COM |
| 1 | 142.250.184.225 | United States | AS15169GOOGLE |
| 48 | 41 | - | - |
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
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