Summary
This website contacted 36 IPs in 2 countries across 16 domains to perform 119 HTTP transactions. The main domain is fs-gossips.com and was registered NaN years ago.
Submitted URL: https://fs-gossips.com/14908/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Alysa Liu: “I keep working hard on the triple axel, and I hope that at Nationals I’ll be able to include it in my program.” « ⛸ FS Gossips
Scan Type
public
Language
English
Category
forum
(50%)Domain Information
The domain 'fs-gossips.com' uses the commercial generic top-level domain (.com). Count 10 characters in 'fs-gossips' split between 2 vowels and seven consonants; it also includes 1 hyphen. Splitting it apart reveals 2 words: fs, gossips. The median word length lands at 4.5 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 |
|---|---|---|---|
| 14 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 3 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 142.250.185.234 | United States | AS15169GOOGLE |
| 3 | 142.250.185.78 | United States | AS15169GOOGLE |
| 3 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 142.250.185.226 | United States | AS15169GOOGLE |
| 3 | 65.181.111.131 | Buffalo, New York, United States | AS14670WHG Hosting Services Ltd |
| 3 | 162.159.140.229 | United States | AS13335CLOUDFLARENET |
| 3 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 119 | 36 | - | - |
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
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