Security Scan Report: provincial-azure-vz0evykorg-ls3hpmq6n8.edgeone.app

Submitted: Mar 1, 2026, 5:10:55 AMCompleted: Mar 1, 2026, 5:12:13 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is provincial-azure-vz0evykorg-ls3hpmq6n8.edgeone.app and was registered NaN years ago.

Submitted URL: https://provincial-azure-vz0evykorg-ls3hpmq6n8.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: 92%

1
Risk Score

No malicious activity detected; site appears to be a benign file listing.

Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware detected
Content appears to be a benign file listing
Hosted on a known development hosting platform
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

documentation technical

(86%)

Domain Information

Domain 'provincial-azure-vz0evykorg-ls3hpmq6n8.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'provincial-azure-vz0evykorg-ls3hpmq6n8'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields 2 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://provincial-azure-vz0evykorg-ls3hpmq6n8.edgeone.app/

Page Load Overview

1.04s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:467 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%
technology software
83%
cryptocurrency blockchain
83%
government public service
37%
news media journalism
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162032380DFF42FECA11F8554977DBB3B2A256043A48D458CB5AE0E70AF54989F4BB078

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+Lb8F8R8r8l8l8S8P8f8d8A8D8x8NaT8j808j808d8q8V8y8j80818S8DK:wNIq3+OoGWZiykbKkd6NehwfAP6NYXKK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38372:MCBQxCEwKZFUnIifRECggAREiAAuSQEggAoEQaQDCDVcgYIcoKQkQCIhX4RIZlEimARkQmgUBGgAoIhjYEIqqSwBPwaAREGA

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:9c1c3c3c3c3c1c3c
Perceptual Hash:de7538382a38c7c3
Difference Hash:3030707071717171
Wavelet Hash:9cbc3c3c3c3c1c3c
Color Hash:#ac537a

Other Hashes

Crop Resistant:3030707071717171

Scan History

Scan history not available

Unable to load historical scan data