Summary
This website contacted 43 IPs in 4 countries across 35 domains to perform 145 HTTP transactions. The main domain is careers.philips.com and was registered NaN years ago.
Submitted URL: https://www.careers.philips.com
Effective URL: https://www.careers.philips.com/de/deRedirected
The Cisco Umbrella rank of the primary domain is #27,213 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate Philips careers site with no security concerns.
Safety Factors
Details
Page Title
Philips Careers | Philips Jobs
Scan Type
public
Language
German
Category
corporate business
(92%)Domain Information
You're looking at domain 'www.careers.philips.com' on the commercial generic top-level domain (.com) with subdomain 'www.careers'. Count 7 characters in 'philips' holding two vowels versus 5 consonants. Breaking it apart gives one word: philips. 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 |
|---|---|---|---|
| 19 | 142.250.185.66 | United States | AS15169GOOGLE |
| 3 | 3.248.45.189 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 172.217.18.2 | United States | AS15169GOOGLE |
| 3 | 18.244.18.53 | United States | AS16509AMAZON-02 |
| 3 | 23.52.181.139 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 2.16.241.13 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 147.92.191.92 | Japan | AS38631LY Corporation |
| 3 | 23.67.128.47 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 52.222.136.77 | United States | AS16509AMAZON-02 |
| 3 | 18.245.86.86 | United States | AS16509AMAZON-02 |
| 145 | 43 | - | - |
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
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