Summary
This website contacted 22 IPs in 4 countries across 17 domains to perform 61 HTTP transactions. The main domain is ktemnews.com and was registered NaN years ago.
Submitted URL: https://ktemnews.com/ixp/514/p/quentin-johnston-chargers-update/
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns identified; site appears legitimate.
Safety Factors
Details
Page Title
How Quentin Johnston Is Thriving In His Third NFL Season
Scan Type
public
Language
BN
Category
cryptocurrency blockchain
(72%)Domain Information
The domain name 'ktemnews.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'ktemnews' is 8 characters long with 2 vowels and six consonants. Breaking it apart gives three words: k, tem, news. The median word length lands at 3 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 |
|---|---|---|---|
| 19 | 172.64.146.226 | United States | AS13335CLOUDFLARENET |
| 2 | 13.33.235.19 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 104.126.37.170 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 104.126.37.171 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 100.48.108.93 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 104.18.25.18 | United States | AS13335CLOUDFLARENET |
| 2 | 157.240.205.63 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 2 | 216.58.209.170 | United States | AS15169GOOGLE |
| 2 | 13.33.235.54 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 13.33.235.74 | New York, New York, United States | AS16509AMAZON-02 |
| 61 | 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
Scan history not available
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