Summary
This website contacted 13 IPs in 3 countries across 15 domains to perform 39 HTTP transactions. The main domain is samanthahhayakawa.pages.dev and was registered NaN years ago.
Submitted URL: https://samanthahhayakawa.pages.dev/phnxtmee-social-security-payment-schedule-2025-for-ssis-brkscucg/
AI Security Verdict
High Risk
Confidence: 85%
High‑risk phishing site impersonating Social Security.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2025 For Ssis - Phoenix Brooks
Scan Type
public
Language
English
Category
entertainment media
(90%)Domain Information
The domain name 'samanthahhayakawa.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'samanthahhayakawa'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Word splitting yields 1 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 |
|---|---|---|---|
| 13 | 104.21.11.140 | Germany | |
| 2 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.195 | United States | AS15169GOOGLE |
| 2 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 142.250.184.234 | United States | AS15169GOOGLE |
| 2 | 45.223.102.78 | United States | AS19551INCAPSULA |
| 2 | 104.26.5.18 | United States | AS13335CLOUDFLARENET |
| 2 | 72.246.28.62 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 104.20.23.96 | United States | AS13335CLOUDFLARENET |
| 37 | 13 | - | - |
Detected Technologies11
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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