Summary
API
This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is claim-ihu.netlify.app and was registered 8 years ago.
Submitted URL: https://claim-ihu.netlify.app/
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
Site not foundsecondary capture
Scan Type
public
Domain Name Analysis
The domain 'claim-ihu.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'claim-ihu'. The registrable portion 'netlify' spans 7 characters with two vowels and five consonants. Tokenizing the label suggests three words: net, li, fy. Expect two characters per word on average. 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 |
|---|---|---|---|
| 1 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 1 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 2 | 2 | - | - |
Detected Technologies3
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