Summary
This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cdn.cxense.com and was registered NaN years ago.
Submitted URL: https://cdn.cxense.com/
The Cisco Umbrella rank of the primary domain is #4,387 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate domain with no security threats; DNS error likely temporary.
Safety Factors
Details
Page Title
cdn.cxense.com
Scan Type
public
Domain Information
Within the commercial generic top-level domain (.com), 'cdn.cxense.com' is registered and includes subdomain 'cdn'. The core label 'cxense' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests two words: cx, ense. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 104.102.38.74 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 0 | 2a02:26f0:3500:28b::268b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2a02:26f0:3500:2bf::268b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2a02:26f0:3500:293::268b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 4 | - | - |
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