Security Scan Report: vastra-cv3lxg17fw.edgeone.app

Submitted: Nov 20, 2025, 12:15:25 PMCompleted: Nov 20, 2025, 12:16:38 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 8 HTTP transactions. The main domain is vastra-cv3lxg17fw.edgeone.app.

Submitted URL: https://vastra-cv3lxg17fw.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No external suspicious domains linked
Page content appears to be a simple product listing
Domain age information unavailable

Details

Page Title

Vastra Creation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(81%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vastra-cv3lxg17fw.edgeone.app' is registered and includes subdomain 'vastra-cv3lxg17fw'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vastra-cv3lxg17fw.edgeone.app/

Page Load Overview

2.38s
Total Load Time
8
HTTP Requests
2
Domains
12.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:622 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
22a04:4e42:8e::720Frankfurt am Main, Hesse, Germany
AS54113FASTLY
143.152.26.58Singapore
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1911286E7A9F311125653D0742BB357897A70C00BD88ACE483F9C52849F83EDACA9378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:XbtRtOF0SHkQfQ7vVU5aFm5op5I0Q/3ej+lStARGi9os0S7D+Dzi7ijG:Xp6FdtaFvVLi9HP7izi7iq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9728:J0YPGoTAtQMkCUQgdUCFQGDAvASSCLsIoDQKzBAqCgCRuMOCHAhBjzgJxs48BCZ5QDHqwAgZJVaoFjYogcsGSAIIYOqBCoDS

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

Average Hash:ffc70707ff4949ff
Perceptual Hash:b3b6c8c9940f0ff0
Difference Hash:c60c4d4c8bdbdb2b
Wavelet Hash:ff070607ff0000ff
Color Hash:#6ce0a8

Scan History

Scan history not available

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