Summary
This website contacted 26 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is dashing-cat-29ec70.netlify.app.
Submitted URL: https://dashing-cat-29ec70.netlify.app/Index_0001.html
Effective URL: https://dashing-cat-29ec70.netlify.app/index_0001Redirected
AI Security Verdict
Low Risk
Confidence: 80%
Page shows no malicious activity but is on a new, unranked domain.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'dashing-cat-29ec70.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dashing-cat-29ec70'. The core label 'netlify' covers 7 characters with 2 vowels and 5 consonants. Tokenizing the label suggests 3 words: net, li, fy. The median word length lands at 2 characters. 'neto' is most common in Esperanto usage. You may catch it in Bosnian and Serbian as well.
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 |
|---|---|---|---|
| 6 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 0 | 192.3.141.254 | Buffalo, New York, United States | AS36352AS-COLOCROSSING |
| 0 | 142.250.184.202 | United States | AS15169GOOGLE |
| 0 | 216.58.206.74 | United States | AS15169GOOGLE |
| 0 | 142.251.140.170 | United States | AS15169GOOGLE |
| 0 | 2a00:1450:4001:830::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 2a00:1450:4001:81d::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 172.217.23.106 | United States | AS15169GOOGLE |
| 0 | 2a00:1450:4001:831::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 142.250.186.170 | United States | AS15169GOOGLE |
| 6 | 26 | - | - |
Detected Technologies6
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
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