Summary
This website contacted 67 IPs in 3 countries across 24 domains to perform 89 HTTP transactions. The main domain is morningjournalnews.com and was registered NaN years ago.
Submitted URL: https://www.morningjournalnews.com/sports/local-sports/2025/10/flacco-rallies-bengals-past-steelers/
AI Security Verdict
Details
Page Title
Flacco rallies Bengals past Steelers | News, Sports, Jobs - Morning Journal
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
The domain name 'www.morningjournalnews.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'morningjournalnews' stretches across 18 characters split between six vowels and 12 consonants. Segmentation suggests three words: morning, journal, news. Median word length comes out to 7 characters. 'morning' is most common in English usage. Usage also turns up in Chinese (Pinyin) and French contexts. Overall, 'www.morningjournalnews.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 |
|---|---|---|---|
| 23 | 52.222.236.96 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.132 | United States | AS15169GOOGLE |
| 1 | 18.245.31.92 | United States | AS16509AMAZON-02 |
| 1 | 216.58.206.78 | United States | AS15169GOOGLE |
| 1 | 142.250.185.174 | United States | AS15169GOOGLE |
| 1 | 52.222.236.123 | United States | AS16509AMAZON-02 |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 52.216.9.99 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 52.222.236.90 | United States | AS16509AMAZON-02 |
| 89 | 67 | - | - |
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
Scan history not available
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