Summary
This website contacted 146 IPs in 5 countries across 57 domains to perform 289 HTTP transactions. The main domain is 1075thefan.com and was registered NaN years ago.
Submitted URL: https://1075thefan.com/618674/colts-bringing-back-veteran-kicker-michael-badgley/
The Cisco Umbrella rank of the primary domain is #952,815 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Colts Bringing Back Veteran Kicker Michael Badgley
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Domain '1075thefan.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label '1075thefan' stretches across 10 characters holding two vowels versus 4 consonants, notching 4 digits. It segments into 3 words: 1075, the, fan. Median word length is three characters. Most frequently, 'the' shows up in English. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 144 | 52.217.13.214 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 1 | 104.16.222.234 | United States | AS13335CLOUDFLARENET |
| 1 | 63.32.114.99 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 104.16.223.234 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 37.252.173.215 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 142.250.181.226 | United States | AS15169GOOGLE |
| 1 | 108.138.3.93 | United States | AS16509AMAZON-02 |
| 1 | 18.245.46.26 | United States | AS16509AMAZON-02 |
| 1 | 63.34.124.79 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 289 | 146 | - | - |
Detected Technologies9
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