Summary
This website contacted 58 IPs in 5 countries across 49 domains to perform 226 HTTP transactions. The main domain is fun107.com and was registered NaN years ago.
Submitted URL: https://fun107.com/tom-bergeron-haverhill-radio-massachusetts-visit/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Tom Bergeron Reflects on His Humble Start in Massachusetts Radio
Scan Type
public
Language
BN
Category
other
(28%)Domain Information
The domain name 'fun107.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'fun107' spans 6 characters holding 1 vowel versus 2 consonants; it also includes 3 digits. Word splitting yields two words: fun, 107. Expect 3 characters per word on average. Most frequently, 'fun' shows up in Vietnamese. Secondary signals appear in Italian and Polish. Overall, 'fun107.com' reads as Vietnamese with character flair.
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 |
|---|---|---|---|
| 55 | 151.101.247.6 | Helsinki, Uusimaa, Finland | AS54113FASTLY |
| 3 | 44.213.7.80 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 95.100.110.29 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 65.8.131.129 | United States | AS16509AMAZON-02 |
| 3 | 95.100.110.3 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 146.75.122.132 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 13.35.58.95 | United States | AS16509AMAZON-02 |
| 3 | 216.58.212.138 | United States | AS15169GOOGLE |
| 3 | 142.250.184.227 | United States | AS15169GOOGLE |
| 3 | 104.18.24.18 | United States | AS13335CLOUDFLARENET |
| 226 | 58 | - | - |
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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