Summary
This website contacted 50 IPs in 3 countries across 13 domains to perform 38 HTTP transactions. The main domain is anthonyhayashilp.pages.dev and was registered NaN years ago.
Submitted URL: https://anthonyhayashilp.pages.dev/iwez-social-security-2025-cola-letter-rmkmm/
AI Security Verdict
High Risk
Confidence: 85%
Impersonates Social Security on an unranked domain; likely phishing.
Risk Factors
Details
Page Title
Social Security 2025 Cola Letter - Anthony Hayashi L.P
Scan Type
public
Language
English
Category
government public service
(59%)Domain Information
The domain name 'anthonyhayashilp.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'anthonyhayashilp'. The registrable portion 'pages' spans 5 characters split between two vowels and 3 consonants. Splitting it apart reveals one word: pages. 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 |
|---|---|---|---|
| 21 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 4 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.186.54 | United States | AS15169GOOGLE |
| 2 | 172.66.136.209 | United States | AS13335CLOUDFLARENET |
| 1 | 45.56.111.81 | Cedar Knolls, New Jersey, United States | AS63949Akamai Connected Cloud |
| 1 | 198.50.223.48 | Canada | AS16276OVH SAS |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.18.38.162 | United States | AS13335CLOUDFLARENET |
| 1 | 75.2.18.233 | United States | AS16509AMAZON-02 |
| 1 | 172.67.69.154 | United States | AS13335CLOUDFLARENET |
| 38 | 50 | - | - |
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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