Security Scan Report: local-beige-9pw7wqt0e1-msbtt2ero1.edgeone.app

Submitted: Mar 21, 2026, 11:34:11 AMCompleted: Mar 21, 2026, 11:35:19 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is local-beige-9pw7wqt0e1-msbtt2ero1.edgeone.app and was registered NaN years ago.

Submitted URL: https://local-beige-9pw7wqt0e1-msbtt2ero1.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; the page returns a 404 error and poses no security risk.

Safety Factors
Absence of credential or payment collection forms
No external malicious links or resources
No suspicious JavaScript behavior
Hosted on a reputable platform (edgeone.app)
No Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Tencent Edgeone

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(60%)

Domain Information

The domain 'local-beige-9pw7wqt0e1-msbtt2ero1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'local-beige-9pw7wqt0e1-msbtt2ero1'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Breaking it apart gives 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://local-beige-9pw7wqt0e1-msbtt2ero1.edgeone.app/

Page Load Overview

0.45s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:91 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
government public service
56%
healthcare medical
45%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
143.152.26.154Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B71BC5765F310126953D49C2F756B097AE5C003C24ACD2A3EDC6398CF8AD929E9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TLPv0c6StLUtapqFo9Dgf5R5I+hck4xhB1F8tSZJXjdPaO:fPz6StLUtapqFo9Dgff5Iwck4xhB1F8Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3796:hCoSAAUAAAgAQMAJAhBgIIBAEQABQCAEAAQ4AAgSAJAAkYAAACIQAAAIgYogBMiAAMgAgBoCgAAFBRAqAAAQAICAEwwggEAB

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:ffffe7e7e7e7ffff
Perceptual Hash:f299cc6433336699
Difference Hash:000008080c0c0000
Wavelet Hash:f0f0c0c0c0e4fcfc
Color Hash:#d2a92d

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data