Security Scan Report: capitalist-coffee-aobomvcsz9-oxgyb22v4m.edgeone.dev

Submitted: Apr 12, 2026, 7:09:59 AMCompleted: Apr 12, 2026, 7:11:11 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 52 HTTP transactions. The main domain is capitalist-coffee-aobomvcsz9-oxgyb22v4m.edgeone.dev and was registered NaN years ago.

Submitted URL: https://capitalist-coffee-aobomvcsz9-oxgyb22v4m.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site shows moderate risk due to unknown subdomain age, lack of reputation, and heavily obfuscated JavaScript, but no phishing or malware indicators.

Risk Factors
Unknown subdomain age
Unranked domain reputation
Highly obfuscated JavaScript
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No detected malware or network IDS alerts
Domain age information unavailable

Details

Page Title

伊犁师范大学 · 3D 声景地图(25个声景点)

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'capitalist-coffee-aobomvcsz9-oxgyb22v4m.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'capitalist-coffee-aobomvcsz9-oxgyb22v4m'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 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://capitalist-coffee-aobomvcsz9-oxgyb22v4m.edgeone.dev/

Page Load Overview

5.00s
Total Load Time
6
HTTP Requests
4
Domains
N/A
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:120 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
647.246.109.94United States
AS45102Alibaba US Technology Co., Ltd.
0106.11.43.113China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
0163.181.225.43United States
043.174.246.29Singapore
0163.181.225.45UnknownUnknown
0163.181.225.48UnknownUnknown
0203.119.204.114UnknownUnknown
0180.163.145.12UnknownUnknown
68--

Detected Technologies1

20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15533B7725613006FB322D0AE951557AD3025E107B6A36874BB7CB797DF8ECBB083529C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Flt0BzrmQYNbzrE/5SLzMJU4JGTWZiIGkBGZ2CoGy20WzKEiLS1L7AKm7iY9tvIx:DORrmQYNbzrE/cLYJbJGTWZHctC/YZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51697:YIBBqBioWgIYHJMqgEF6BDonERoBnOBRBBhApYJAaAIwTGYM0wSZFlGBIgqYiCxHMNZBDHDbAAAAiVAw4KUEMjis3YCR5SiW

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:00fffffff7f7f776
Perceptual Hash:a47b007b017f057f
Difference Hash:55074686864c0dae
Wavelet Hash:00e1e2e2e3a7e766
Color Hash:#c587b8

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data