Summary
This website contacted 20 IPs in 2 countries across 10 domains to perform 88 HTTP transactions. The main domain is manuel-wereb.medium.com and was registered NaN years ago.
Submitted URL: https://manuel-wereb.medium.com/chongqing-chinas-megacity-gem-in-the-heart-of-sichuan-56d4ab0d5ff0
The Cisco Umbrella rank of the primary domain is #15,083 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 97%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Chongqing: China’s Megacity Gem in the Heart of Sichuan | by Manuel Wereb | Medium
Scan Type
public
Language
English
Category
news media journalism
(44%)Domain Information
The domain name 'manuel-wereb.medium.com' uses the commercial generic top-level domain (.com) with subdomain 'manuel-wereb'. The second-level label 'medium' is 6 characters long split between 3 vowels and three consonants. Tokenizing the label suggests 1 word: medium. The median word length lands at 6 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 |
|---|---|---|---|
| 64 | 162.159.153.4 | United States | AS13335CLOUDFLARENET |
| 9 | 162.159.152.4 | United States | AS13335CLOUDFLARENET |
| 4 | 142.250.186.35 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 4 | 2a00:1450:4001:830::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 4 | 104.16.79.73 | United States | AS13335CLOUDFLARENET |
| 4 | 2606:4700::6810:5049 | United States | AS13335CLOUDFLARENET |
| 4 | 2606:4700::6810:4f49 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 88 | 20 | - | - |
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
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