Summary
This website contacted 240 IPs in 7 countries across 74 domains to perform 333 HTTP transactions. The main domain is autohebdof1.com and was registered NaN years ago.
Submitted URL: https://www.autohebdof1.com/news/endurance/imsa/brad-keselowski-ford-hypercar-imsa.html
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
Brad Keselowski would like to enter the Ford Hypercars in IMSA | AutoHebdo
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
Domain 'www.autohebdof1.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 11 characters in 'autohebdof1' with five vowels and five consonants, along with one digit. Tokenizing the label suggests 5 words: auto, he, bd, of, 1. Average segment length settles at 2 characters. The linguistic tilt is Chinese (Pinyin) for 'auto'. You will also see it in English and Dutch contexts. Taken together, it feels Chinese (Pinyin) 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 |
|---|---|---|---|
| 94 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 51.158.29.12 | Paris, Île-de-France, France | AS12876Scaleway S.a.s. |
| 1 | 146.75.121.108 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 15.197.193.217 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 1 | 212.83.160.162 | Paris, Île-de-France, France | AS12876Scaleway S.a.s. |
| 1 | 81.17.55.161 | Netherlands | AS60781LeaseWeb Netherlands B.V. |
| 1 | 142.250.185.99 | United States | AS15169GOOGLE |
| 1 | 13.248.245.213 | United States | AS16509AMAZON-02 |
| 333 | 240 | - | - |
Detected Technologies15
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