Summary
API
This website contacted 25 IPs in 3 countries across 12 domains to perform 24 HTTP transactions. The main domain is dot.la and was registered 9 years ago.
Submitted URL: https://dot.la/buzzfeed-ai-2659315929.html
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate tech news article on an established domain; no phishing, malware, credential collection, or brand impersonation detected.
Safety Factors (5)
Details
Page Title
Buzzfeed and CNET to Automate More Content Using OpenAI - dot.LA
Scan Type
public
Domain Name Analysis
Domain 'dot.la' uses the Laotian country-code top-level domain (.la) and has no subdomain. The second-level label 'dot' is 3 characters long with one vowel and 2 consonants. Word splitting yields one word: dot. 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 |
|---|---|---|---|
| 24 | 151.101.1.91Fastly · CDN | United States | AS54113Fastly, Inc. |
| 0 | 65.9.130.16Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 0 | 146.75.121.68Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 0 | 16.15.199.164Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 0 | 142.251.13.97Google · CDN | United States | AS15169Google LLC |
| 0 | 192.0.66.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 0 | 54.155.18.159Aws · CLOUD | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 0 | 98.94.126.174Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 0 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 0 | 142.251.127.113Google · CDN | United States | AS15169Google LLC |
| 24 | 25 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data