Summary
This website contacted 44 IPs in 2 countries across 20 domains to perform 169 HTTP transactions. The main domain is buzzfeed.com and was registered NaN years ago.
Submitted URL: https://www.buzzfeed.com/tag/lukas-gage
The Cisco Umbrella rank of the primary domain is #23,440 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Lukas Gage
Scan Type
public
Language
English
Category
news media journalism
(62%)Domain Information
You're looking at domain 'www.buzzfeed.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'buzzfeed' spans 8 characters holding three vowels versus 5 consonants. Splitting it apart reveals 2 words: buzz, feed. Expect four characters per word on average. 'buzz' is most common in Chinese (Pinyin) usage. You may catch it in English and Malay as well. Net impression: Chinese (Pinyin) phrase.
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 | 172.217.18.2 | United States | AS15169GOOGLE |
| 3 | 142.250.186.174 | United States | AS15169GOOGLE |
| 3 | 142.250.186.99 | United States | AS15169GOOGLE |
| 3 | 64.233.184.156 | United States | AS15169GOOGLE |
| 3 | 52.0.211.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 3 | 104.18.41.104 | United States | AS13335CLOUDFLARENET |
| 3 | 2.16.97.41 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 52.205.167.238 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 98.85.149.34 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 169 | 44 | - | - |
Detected Technologies2
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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