Summary
This website contacted 11 IPs in 3 countries across 2 domains to perform 6 HTTP transactions. The main domain is emag-favorites.pages.dev.
Submitted URL: http://emag-favorites.pages.dev/
Effective URL: https://emag-favorites.pages.dev/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
eMAG Favorites
Scan Type
public
Language
English
Category
e-commerce shopping
(67%)Domain Information
The domain name 'emag-favorites.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'emag-favorites'. Count 5 characters in 'pages' with 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. 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 |
|---|---|---|---|
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 0 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 0 | 2.16.168.103 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 95.101.78.160 | Palermo, Sicily, Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 0 | 95.101.78.161 | Palermo, Sicily, Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 0 | 95.101.78.144 | Palermo, Sicily, Italy | AS6762TELECOM ITALIA SPARKLE S.p.A. |
| 0 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 0 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 0 | 2a02:26f0:3500:f::1732:8319 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2a02:26f0:3500:f::1732:8317 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 11 | - | - |
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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