Security Scan Report: enthusiastic-plum-ysdjmn85-dpigcoaz1qf0.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://enthusiastic-plum-ysdjmn85-dpigcoaz1qf0.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Default EdgeOne Pages deployment placeholder with no forms, no impersonation, and no malware. Single-source 'known attacker' tag is generic address reputation only and does not reflect this page's content. Low risk.

Safety Factors (4)
No forms, no password or payment fields anywhere on the page
No brand impersonation — the page shows the hosting platform's own name on the platform's own domain
No YARA/JS malware, no IDS alerts, no Safe Browsing threat, no credential exfiltration
Content is a benign static deployment-confirmation placeholder
Domain age information unavailable

Details

Page Title

EdgeOne Pages 测试

Scan Type

public

Domain Name Analysis

Domain 'enthusiastic-plum-ysdjmn85-dpigcoaz1qf0.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'enthusiastic-plum-ysdjmn85-dpigcoaz1qf0'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. It segments into two 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://enthusiastic-plum-ysdjmn85-dpigcoaz1qf0.edgeone.dev/

Page Load Overview

1.01s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:zh-CN
Text Length:130 chars
Detector Agreement:67%
Language mismatch: Declared as zh-CN but detected as da

Website Classification

Primary Category

healthcare medical81% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
81%
documentation technical
81%
adult content
79%
news media journalism
75%
technology software
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C3F09E96E59B84058132E7114AE2F35C2498C412EB8789006BCD64EA8D99752C0A7268

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hrsB5y70TI4xkfUWXwxJc1bycRR8bvDRRd7R/9Kj:hro5C0TIyWA4yeM7RRNR/9Kj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5c0bac3e517e575dcc9a30a4eb0c8f1c

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:3f7fffffffffffff
Perceptual Hash:83030307070f7fff
Difference Hash:c080000000000000
Wavelet Hash:3070f0f0f0f0f0f0
Color Hash:#d2797e

Other Hashes

Crop Resistant:c080000000000000

Scan History

Scan history not available

Unable to load historical scan data