Security Scan Report: concerned-moccasin-j9sthsxudv-f0fol2b9ea.edgeone.app

Submitted: Mar 17, 2026, 1:35:37 AMCompleted: Mar 17, 2026, 1:37:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is concerned-moccasin-j9sthsxudv-f0fol2b9ea.edgeone.app and was registered NaN years ago.

Submitted URL: https://concerned-moccasin-j9sthsxudv-f0fol2b9ea.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware signatures
No suspicious cross‑origin requests or credential exfiltration
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

黑雪工具箱

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(68%)

Domain Information

The domain 'concerned-moccasin-j9sthsxudv-f0fol2b9ea.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'concerned-moccasin-j9sthsxudv-f0fol2b9ea'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://concerned-moccasin-j9sthsxudv-f0fol2b9ea.edgeone.app/

Page Load Overview

0.78s
Total Load Time
3
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:90 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
healthcare medical
49%
technology software
33%
adult content
33%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D6242AE6DB71012B423A0793BFB575436748013F50ACD7D3EEC62548FC1AA899A379C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:im10tVd6P5eqyiMze+CBrltBfUmes+66nKtH4UfhftwBfUzBBfUNIvVesM+y9WDk:Ua3z7RgmsczjvvcnKg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15151:AICBh4sSkPxgIQIJXQlQmGRYk0rMgMKUtgSA5WKtDpUSYCIgRCQKGmk3EGoiQR0sSADCgIDYAAAAgwcHJQD5yUIkE5ISBBCJ

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:0101031f3f070f1f
Perceptual Hash:8c7f72c8cc7232cc
Difference Hash:3f3f5f73f3dffff7
Wavelet Hash:8303070f3f0f1f1f
Color Hash:#d27e79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data