Summary
This website contacted 60 IPs in 2 countries across 22 domains to perform 117 HTTP transactions. The main domain is electricitymaps-staging.pages.dev.
Submitted URL: https://electricitymaps-staging.pages.dev/
Effective URL: https://electricitymaps-staging.pages.dev/map/72h/hourlyRedirected
AI Security Verdict
Safe Website
Confidence: 80%
No suspicious activity detected; site appears legitimate.
Safety Factors
Details
Page Title
Live 24/7 CO₂ emissions of electricity consumption | App | Electricity Maps
Scan Type
public
Language
English
Category
documentation technical
(86%)Domain Information
Domain 'electricitymaps-staging.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'electricitymaps-staging'. The core label 'pages' covers 5 characters containing two vowels alongside three consonants. It segments into 1 word: pages. Average segment length settles at 5 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 |
|---|---|---|---|
| 58 | 3.174.46.47 | United States | AS16509AMAZON-02 |
| 1 | 172.65.219.229 | United States | AS13335CLOUDFLARENET |
| 1 | 216.58.206.72 | United States | AS15169GOOGLE |
| 1 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 1 | 141.101.90.99 | United States | AS13335CLOUDFLARENET |
| 1 | 172.65.240.166 | United States | AS13335CLOUDFLARENET |
| 1 | 172.65.208.22 | United States | AS13335CLOUDFLARENET |
| 1 | 50.17.225.12 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 2.18.64.212 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 3.174.46.72 | United States | AS16509AMAZON-02 |
| 117 | 60 | - | - |
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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