Summary
This website contacted 13 IPs in 3 countries across 13 domains to perform 62 HTTP transactions. The main domain is buff.com and was registered NaN years ago.
Submitted URL: https://buff.com
Effective URL: https://www.buff.com/de_eur/Redirected
The Cisco Umbrella rank of the primary domain is #645,470 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Headwear & Neckwear for Sports and Outdoors BUFF®
Scan Type
public
Language
German
Category
documentation technical
(69%)Domain Information
The domain 'buff.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'buff' spans 4 characters with one vowel and 3 consonants. Tokenizing the label suggests one word: buff. Median word length is 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 |
|---|---|---|---|
| 14 | 13.107.246.44 | United States | AS8075Microsoft Corporation |
| 11 | 13.94.168.113 | Amsterdam, North Holland, Netherlands | AS8075Microsoft Corporation |
| 11 | 2.16.168.106 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 162.247.243.39 | United States | AS54113Fastly, Inc. |
| 11 | 184.24.77.154 | Unknown | |
| 11 | 23.52.181.3 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 11 | 34.230.131.17 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 11 | 142.251.141.104 | United States | AS15169Google LLC |
| 11 | 146.75.122.133 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 11 | 40.115.11.160 | Unknown | Unknown |
| 146 | 13 | - | - |
Detected Technologies6
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
Scan history not available
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