Summary
This website contacted 198 IPs in 7 countries across 60 domains to perform 184 HTTP transactions. The main domain is kxlf.com and was registered NaN years ago.
Submitted URL: https://www.kxlf.com/entertainment/celebrity/jason-kelce-calls-out-fake-quote-about-bad-bunny-super-bowl-backlash
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Jason Kelce calls out fake quote about Bad Bunny Super Bowl backlash
Scan Type
public
Language
English
Category
news/blog
(35%)Domain Information
The domain name 'www.kxlf.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 4 characters in 'kxlf' holding 0 vowels versus four consonants. Breaking it apart gives 3 words: k, xl, f. Average segment length settles at one character. 'k' most often appears in Vietnamese. You may catch it in English and French as well. Taken together, it feels Vietnamese.
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 |
|---|---|---|---|
| 184 | 34.1.233.158 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 0 | 37.252.171.85 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 3.174.45.70 | United States | AS16509AMAZON-02 |
| 0 | 35.214.241.109 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 0 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 0 | 18.244.18.27 | United States | AS16509AMAZON-02 |
| 0 | 130.211.23.194 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 0 | 35.214.222.198 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 0 | 3.171.214.87 | United States | AS16509AMAZON-02 |
| 0 | 37.252.171.53 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 184 | 198 | - | - |
Detected Technologies8
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
Unable to load historical scan data