Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is fortnite-vod.akamaized.net and was registered 12 years ago.
Submitted URL: https://fortnite-vod.akamaized.net
The Cisco Umbrella rank of the primary domain is #754,517 of the top 1 million websites
AI Security Verdict
Not Assessed
This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.
Error or status pages carry no content to analyse. The site may still be active on another path.
Details
Page Title
N/A
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
The domain 'fortnite-vod.akamaized.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'fortnite-vod'. Count 9 characters in 'akamaized' containing five vowels alongside 4 consonants. Tokenizing the label suggests 3 words: aka, maize, d. The median word length lands 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 |
|---|---|---|---|
| 2 | 23.48.23.6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 1 | - | - |
Page Statistics
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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