Summary
This website contacted 15 IPs in 2 countries across 19 domains to perform 2 HTTP transactions. The main domain is eatlikenoone.com and was registered 27 years ago.
Submitted URL: https://www.eatlikenoone.com/the-best-pumpkin-products-at-trader-joes.htm
AI Security Verdict
Safe Website
Confidence: 92%
The page is a legitimate blog post about Trader Joe's products with no malicious indicators.
Safety Factors
Details
Page Title
Trader Joe’s Pumpkin Kringle and 2025 Pumpkin Finds - Eat Like No One Else
Scan Type
public
Language
English
Category
social media network
(36%)Domain Information
You're looking at domain 'www.eatlikenoone.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 12 characters in 'eatlikenoone' split between seven vowels and 5 consonants. Segmentation suggests 3 words: eat, like, noone. Expect 4 characters per word on average. 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 |
|---|---|---|---|
| 11 | 104.21.42.113Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 146.75.121.55Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 146.75.122.49Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 94.237.85.247 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 3 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 146.75.122.132Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 3 | 94.237.98.241 | Frankfurt am Main, Hesse, Germany | AS202053UpCloud Ltd |
| 3 | 142.251.14.156Google · CDN | United States | AS15169Google LLC |
| 3 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 53 | 15 | - | - |
Page Statistics
Detected Technologies19
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