ScanMalware.com

Security Scan Report: local-azure-seckvadlnw-frgvc00rqh.edgeone.app

Submitted: Mar 13, 2026, 5:13:53 AMCompleted: Mar 13, 2026, 5:15:37 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is local-azure-seckvadlnw-frgvc00rqh.edgeone.app and was registered NaN years ago.

Submitted URL: https://local-azure-seckvadlnw-frgvc00rqh.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No malicious activity detected; site appears low risk.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date (potentially new)
Domain age for the subdomain is unknown
Safety Factors
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No network IDS alerts
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain name 'local-azure-seckvadlnw-frgvc00rqh.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'local-azure-seckvadlnw-frgvc00rqh'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 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://local-azure-seckvadlnw-frgvc00rqh.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:831 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
45%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B802D5CAEBA305C8A82BC0682FFF5324232DE057C448CD5DB99E1F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBYh1RaXQl:KrzhNK/lMHmGgdkqPd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8685:IAUC13AKFQMwtN0cgW+ChAAiSAmEDQQEMFiJiAACiDKaAIEKAsR0w0qACY8CANaAgTi8VQAmTEBaBApBIiIGSCqTOCbXAAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#57bf40

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data