Summary
This website contacted 54 IPs in 2 countries across 17 domains to perform 40 HTTP transactions. The main domain is theodoremstocktong.pages.dev and was registered NaN years ago.
Submitted URL: https://theodoremstocktong.pages.dev/irjkw-social-security-max-2025-payout-chart-jfgql/
AI Security Verdict
Safe Website
Confidence: 88%
The site shows no security threats and appears legitimate.
Safety Factors
Details
Page Title
Social Security Max 2025 Payout Chart - Theodore M Stockton
Scan Type
public
Language
English
Category
government public service
(42%)Domain Information
The domain 'theodoremstocktong.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'theodoremstocktong'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. Average segment length settles at five 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 |
|---|---|---|---|
| 40 | 18.66.122.19 | United States | AS16509AMAZON-02 |
| 17 | 172.66.44.52 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 2 | 104.26.15.73 | United States | AS13335CLOUDFLARENET |
| 1 | 136.243.106.228 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 1 | 146.75.121.188 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 104.18.34.147 | United States | AS13335CLOUDFLARENET |
| 40 | 54 | - | - |
Detected Technologies3
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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