Summary
This website contacted 16 IPs in 3 countries across 16 domains to perform 45 HTTP transactions. The main domain is patriciatakahashirp.pages.dev and was registered NaN years ago.
Submitted URL: https://patriciatakahashirp.pages.dev/apxa-social-security-for-2025-increase-iiwvd/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed phishing scam; avoid interaction and report the site.
Risk Factors
Details
Page Title
Social Security For 2025 Increase - Irena Lyndsie
Scan Type
public
Language
English
Category
government public service
(48%)Domain Information
You're looking at domain 'patriciatakahashirp.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'patriciatakahashirp'. The second-level label 'pages' is 5 characters long holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. Median word length comes out to 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 |
|---|---|---|---|
| 12 | 92.204.80.11 | Strasbourg, Grand Est, France | AS21499Host Europe GmbH |
| 3 | 142.250.185.246 | United States | |
| 3 | 3.33.130.190 | France | |
| 3 | 104.17.157.22 | Unknown | |
| 3 | 91.108.107.115 | Mumbai, Maharashtra, India | AS47583Hostinger International Limited |
| 3 | 172.66.47.160 | United States | AS13335CLOUDFLARENET |
| 3 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 3 | 172.66.169.241 | Unknown | Unknown |
| 3 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 57 | 16 | - | - |
Detected Technologies13
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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