Summary
This website contacted 12 IPs in 2 countries across 13 domains to perform 1 HTTP transaction. The main domain is colleentshermanc.pages.dev and was registered NaN years ago.
Submitted URL: https://colleentshermanc.pages.dev/iqmhf-social-security-benefits-2025-increase-goszn/
AI Security Verdict
Safe Website
Confidence: 95%
Informational blog post about Social Security benefits; no phishing or malicious activity detected.
Safety Factors
Details
Page Title
Social Security Benefits 2025 Increase - Colleen T Sherman
Scan Type
public
Language
English
Category
government public service
(62%)Domain Information
The domain name 'colleentshermanc.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'colleentshermanc'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Word splitting yields 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 |
|---|---|---|---|
| 6 | 104.26.13.14 | United States | AS13335CLOUDFLARENET |
| 3 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.180.98 | British Virgin Islands | |
| 3 | 172.64.149.94 | United States | AS13335CLOUDFLARENET |
| 3 | 35.239.62.3 | Council Bluffs, Iowa, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 172.66.47.49 | United States | AS13335CLOUDFLARENET |
| 3 | 172.67.194.192 | United States | AS13335CLOUDFLARENET |
| 3 | 104.21.70.147 | British Virgin Islands | Unknown |
| 3 | 70.32.23.115 | United States | AS55293A2HOSTING |
| 39 | 12 | - | - |
Detected Technologies10
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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