Summary
This website contacted 159 IPs in 8 countries across 70 domains to perform 152 HTTP transactions. The main domain is hoopsrumors.com and was registered NaN years ago.
Submitted URL: https://www.hoopsrumors.com/2025/10/malcolm-brogdon-announces-retirement.html
AI Security Verdict
Moderate Risk
Confidence: 72%
Page contains a suspicious password‑only form; proceed cautiously.
Risk Factors
Safety Factors
Details
Page Title
Malcolm Brogdon Announces Retirement | Hoops Rumors
Scan Type
public
Language
English
Category
entertainment media
(61%)Domain Information
The domain name 'www.hoopsrumors.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 11 characters in 'hoopsrumors' with four vowels and 7 consonants. It segments into two words: hoops, rumors. Expect 5.5 characters per word on average. Most frequently, 'hoops' shows up in English. Secondary signals appear in Chinese (Pinyin) and Malay. Net impression: English phrase.
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 |
|---|---|---|---|
| 152 | 142.250.184.227 | United States | AS15169GOOGLE |
| 0 | 135.125.140.162 | France | AS16276OVH SAS |
| 0 | 52.57.52.81 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 104.20.24.69 | United States | AS13335CLOUDFLARENET |
| 0 | 172.217.18.2 | United States | AS15169GOOGLE |
| 0 | 57.129.85.132 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 0 | 185.89.210.153 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 185.89.210.46 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 0 | 104.18.27.193 | United States | AS13335CLOUDFLARENET |
| 0 | 23.50.131.95 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 152 | 159 | - | - |
Detected Technologies4
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
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