Summary
This website contacted 22 IPs in 3 countries across 10 domains to perform 87 HTTP transactions. The main domain is marylandsportsblog.com and was registered NaN years ago.
Submitted URL: https://marylandsportsblog.com/nfl-division-preview-nfc-south/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate sports blog with no apparent security threats.
Safety Factors
Details
Page Title
NFL Division Preview: NFC South - Marylandsportsblog.com
Scan Type
public
Language
English
Category
news/blog
(100%)Domain Information
The domain 'marylandsportsblog.com' uses the commercial generic top-level domain (.com) with no subdomain. The core label 'marylandsportsblog' covers 18 characters holding four vowels versus 14 consonants. Word splitting yields 3 words: maryland, sports, blog. Average segment length settles at six 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 |
|---|---|---|---|
| 55 | 198.12.239.205 | United States | AS398101GO-DADDY-COM-LLC |
| 7 | 151.101.120.157 | Paris, Île-de-France, France | AS54113FASTLY |
| 7 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 6 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 142.250.185.136 | United States | AS15169GOOGLE |
| 3 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 104.18.193.136 | United States | AS13335CLOUDFLARENET |
| 3 | 2a00:1450:4001:827::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 3 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 3 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 87 | 22 | - | - |
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
Scan History
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