Security Scan Report: vastra-z7nqa7z1j7.edgeone.app

Submitted: Nov 22, 2025, 4:49:08 AMCompleted: Nov 22, 2025, 4:50:23 AMpubliccompleted
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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-z7nqa7z1j7.edgeone.app.

Submitted URL: https://vastra-z7nqa7z1j7.edgeone.app/vashtra.html

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
No forms collecting sensitive data
No external domains or redirects
Low risk content (product display only)
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-z7nqa7z1j7.edgeone.app' is registered with subdomain 'vastra-z7nqa7z1j7'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Word splitting yields two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vastra-z7nqa7z1j7.edgeone.app/vashtra.html

Page Load Overview

7.49s
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:#6ce06c

Scan History

Scan history not available

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