Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is expectedbuffalo.com and was registered NaN years ago.
Submitted URL: https://www.expectedbuffalo.com/all-signs-point-to-alex-tuch-leaving-buffalo-sabres/
AI Security Verdict
High Risk
Confidence: 75%
The site loads a known malicious third‑party script despite being a well‑established news blog, raising high risk of malware distribution.
Risk Factors
Details
Page Title
All signs point to Alex Tuch leaving Buffalo
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain name 'www.expectedbuffalo.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 15 characters in 'expectedbuffalo' split between six vowels and nine consonants. Word splitting yields two words: expected, buffalo. Average segment length settles at 7.5 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 |
|---|---|---|---|
| 12 | 192.0.77.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 162.241.253.150 | Phoenix, Arizona, United States | AS31898Oracle Corporation |
| 11 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 141.101.90.105 | United States | AS13335Cloudflare, Inc. |
| 11 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 11 | 142.250.154.95 | United States | AS15169Google LLC |
| 11 | 192.0.77.37 | San Francisco, California, United States | AS2635Automattic, Inc |
| 11 | 104.18.18.183 | United States | AS13335Cloudflare, Inc. |
| 11 | 18.172.112.108 | United States | AS16509Amazon.com, Inc. |
| 11 | 142.251.127.156 | United States | AS15169Google LLC |
| 122 | 11 | - | - |
Detected Technologies16
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