Summary
This website contacted 31 IPs in 3 countries across 32 domains to perform 70 HTTP transactions. The main domain is 1073kissfmtexas.com and was registered NaN years ago.
Submitted URL: https://1073kissfmtexas.com/four-people-injured-after-electrical-malfunction-at-six-flags-over-texas/
AI Security Verdict
Details
Page Title
Four People Injured After Malfunction At Six Flags Over Texas
Scan Type
public
Language
English
Category
entertainment media
(57%)Domain Information
Within the commercial generic top-level domain (.com), '1073kissfmtexas.com' is registered without a subdomain. Count 15 characters in '1073kissfmtexas' containing three vowels alongside eight consonants, along with 4 digits. Splitting it apart reveals 4 words: 1073, kiss, fm, texas. Average segment length settles at four 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 |
|---|---|---|---|
| 10 | 34.36.200.111 | Kansas City, Missouri, United States | AS396982Google LLC |
| 2 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 18.245.31.100 | United States | AS16509Amazon.com, Inc. |
| 2 | 104.18.41.30 | United States | AS13335Cloudflare, Inc. |
| 2 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 2 | 157.240.0.174 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 2 | 172.66.148.140 | United States | AS13335Cloudflare, Inc. |
| 2 | 108.132.21.233 | Dublin, Leinster, Ireland | AS16509Amazon.com, Inc. |
| 2 | 34.232.159.88 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 2 | 142.250.154.97 | United States | AS15169Google LLC |
| 0 | 31 | - | - |
Detected Technologies2
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
Scan History
Scan history not available
Unable to load historical scan data