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Security Scan Report: double-moccasin-ioavluwpza-pb8dfjdgcx.edgeone.app

Submitted: Apr 16, 2026, 3:30:53 PMCompleted: Apr 16, 2026, 3:32:06 PMpubliccompleted
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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 double-moccasin-ioavluwpza-pb8dfjdgcx.edgeone.app and was registered NaN years ago.

Submitted URL: https://double-moccasin-ioavluwpza-pb8dfjdgcx.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: 80%

2
Risk Score

Site shows no phishing, malware, or credential harvesting; overall low risk.

Risk Factors
Subdomain age unknown (potentially brand‑new)
Low Cisco Umbrella ranking (#455,732) without brand context
Safety Factors
No credential or payment collection forms
No malicious JavaScript or obfuscation
No network IDS alerts
Content appears to be a simple file listing
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(91%)

Domain Information

Within the application-focused generic top-level domain (.app), 'double-moccasin-ioavluwpza-pb8dfjdgcx.edgeone.app' is registered and includes subdomain 'double-moccasin-ioavluwpza-pb8dfjdgcx'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Segmentation suggests 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://double-moccasin-ioavluwpza-pb8dfjdgcx.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
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
Text Length:173 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical91% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
91%
adult content
40%
news media journalism
31%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D82B7C0EFE52FDCA42B84559BBD67362625A003D48C858C79DE0EB1DF48585B0FB2B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqyeO5OTOpOROdOdOROJONONOpd:shNIMi+MYigw0UwgssAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18750:qCUA1GgGBEMwkIi+gkeAwSECIUcICABBAFgIESBIADsKQYE+h4Q0wREJqYFEAOaUjCkVRGUGTFGPAChCCCAGYCKRPyWPgIND

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3c38382865e367
Difference Hash:3030707070707068
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#2d3986

Other Hashes

Crop Resistant:3030707070707068

Scan History

Scan history not available

Unable to load historical scan data