Summary
This website contacted 9 IPs in 3 countries across 5 domains to perform 44 HTTP transactions. The main domain is blogs.cdc.gov and was registered NaN years ago.
Submitted URL: https://blogs.cdc.gov/niosh-science-blog/2019/10/29/silicosis-countertop/
The Cisco Umbrella rank of the primary domain is #25,843 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate CDC blog page with no security concerns.
Safety Factors
Details
Page Title
Outbreak of Silicosis among Engineered Stone Countertop Workers in Four States | Blogs | CDC
Scan Type
public
Language
English
Category
healthcare medical
(87%)Domain Information
Domain 'blogs.cdc.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'blogs'. Count 3 characters in 'cdc' containing 0 vowels alongside three consonants. It segments into 1 word: cdc. The median word length lands at three 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 |
|---|---|---|---|
| 12 | 216.58.210.168 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 92.123.149.180 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 2a02:26f0:3500:f8a::2461 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4026:805::2008 | Ireland | AS15169GOOGLE |
| 4 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 4 | 2a02:26f0:3500:f84::2461 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 44 | 9 | - | - |
Detected Technologies7
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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