Summary
This website contacted 67 IPs in 5 countries across 22 domains to perform 95 HTTP transactions. The main domain is onsemi.com and was registered NaN years ago.
Submitted URL: https://www.onsemi.com/company/news-media
The Cisco Umbrella rank of the primary domain is #195,694 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Page contains hidden login fields, likely a credential‑harvesting phishing site.
Risk Factors
Details
Page Title
News & Media | onsemi
Scan Type
public
Language
English
Category
documentation technical
(78%)Domain Information
Domain 'www.onsemi.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 6 characters in 'onsemi' containing 3 vowels alongside 3 consonants. Tokenizing the label suggests two words: on, semi. Average segment length settles at three 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 |
|---|---|---|---|
| 30 | 23.36.162.205 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 16 | 146.75.121.91 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 12 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 7 | 104.17.209.240 | United States | AS13335CLOUDFLARENET |
| 6 | 23.52.181.12 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 18.244.18.60 | United States | AS16509AMAZON-02 |
| 2 | 142.250.185.104 | United States | AS15169GOOGLE |
| 2 | 54.76.216.219 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 104.17.208.240 | United States | AS13335CLOUDFLARENET |
| 95 | 67 | - | - |
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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