Summary
This website contacted 40 IPs in 4 countries across 17 domains to perform 49 HTTP transactions. The main domain is charlesjlalh.pages.dev.
Submitted URL: https://charlesjlalh.pages.dev/yqipa-social-security-income-limits-2025-irzdp/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no malicious activity or phishing indicators.
Safety Factors
Details
Page Title
Social Security Income Limits 2025 - Charles J Lal
Scan Type
public
Language
English
Category
adult content
(28%)Domain Information
The domain name 'charlesjlalh.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'charlesjlalh'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. It segments into 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 |
|---|---|---|---|
| 18 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 10 | 172.66.1.220 | United States | AS13335CLOUDFLARENET |
| 4 | 172.67.180.98 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.184.195 | United States | AS15169GOOGLE |
| 3 | 176.9.114.118 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 2 | 194.1.147.35 | Manchester, England, United Kingdom | AS210250K Media Tech Ltd. |
| 2 | 167.114.50.130 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 2 | 104.196.233.173 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 172.66.134.99 | United States | AS13335CLOUDFLARENET |
| 2 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 49 | 40 | - | - |
Detected Technologies4
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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