Summary
API
This website contacted 9 IPs in 3 countries across 6 domains to perform 127 HTTP transactions. The main domain is asnackshop.com and was registered 29 years ago.
Submitted URL: https://www.asnackshop.com/snacks/
AI Security Verdict
Safe Website
Confidence: 82%
Established self-branded snack e-commerce site with no credential/payment forms, no Indicators of Compromise, and no malware or phishing signals. Low risk.
Safety Factors (5)
Details
Page Title
#1 Best Breakroom & Dorm Snacks Restock Delivered Fast
Scan Type
public
Domain Name Analysis
Domain 'www.asnackshop.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'asnackshop' stretches across 10 characters split between 3 vowels and 7 consonants. Tokenizing the label suggests 3 words: a, snack, shop. The median word length lands at 4 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 |
|---|---|---|---|
| 15 | 188.114.97.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 14 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 14 | 150.171.109.105Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 14 | 172.171.87.38Azure · CLOUD | Dulles, Virginia, United States | AS8075Microsoft Corporation |
| 14 | 188.114.96.9Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 14 | 150.171.109.194Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 14 | 51.8.71.184Azure · CLOUD | Dulles, Virginia, United States | AS8075Microsoft Corporation |
| 14 | 157.240.0.6Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 14 | 157.240.0.35Facebook · CDN | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 127 | 9 | - | - |
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
Scan History
Scan history not available
Unable to load historical scan data