Summary
This website contacted 123 IPs in 3 countries across 33 domains to perform 550 HTTP transactions. The main domain is buffalobills.com and was registered NaN years ago.
Submitted URL: https://www.buffalobills.com/schedule/future-opponents
The Cisco Umbrella rank of the primary domain is #199,856 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Buffalo Bills schedule page with no security concerns.
Safety Factors
Details
Page Title
Buffalo Bills 2026 Opponents | Buffalo Bills - buffalobills.com
Scan Type
public
Language
English
Category
entertainment media
(80%)Domain Information
Domain 'www.buffalobills.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'buffalobills' is 12 characters long with four vowels and 8 consonants. Segmentation suggests 2 words: buffalo, bills. Average segment length settles at 6 characters. 'buffalo' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Catalan contexts. Overall, 'www.buffalobills.com' reads as English.
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 |
|---|---|---|---|
| 62 | 44.221.117.229 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 142.250.186.170 | United States | AS15169GOOGLE |
| 4 | 172.217.18.98 | United States | AS15169GOOGLE |
| 4 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 4 | 3.174.46.76 | United States | AS16509AMAZON-02 |
| 4 | 34.255.127.92 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 4 | 34.194.162.55 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 35.153.24.50 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 104.18.27.193 | United States | AS13335CLOUDFLARENET |
| 4 | 69.173.144.139 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 550 | 123 | - | - |
Detected Technologies9
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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